System and method for object matching

Patent

Liao, K. and Dodballapur, Veena. (2018). System and method for object matching US 10 , 043 , 103 B2
AuthorsLiao, K. and Dodballapur, Veena
Patent applicantCanon Kabushiki Kaisha
Patent IDUS 10 , 043 , 103 B2
Abstract

A computer implemented method of matching a tagged target group, selected from a plurality of gallery groups in a first camera field of view, with probe groups in a second camera field of view, by determining a group context for the tagged target group , determining, in the second camera field of view, probe contexts for the respective local probe groups in the second camera field of view; matching the group context against the probe contexts to produce respective similarity scores; and identifying based upon the similarity scores, the probe group that matches the tagged target group .

Year2018
Publisher's version
License
All rights reserved
File Access Level
Open
Output statusPublished
Publication dates
Online07 Aug 2018
Publication process dates
Deposited18 Jul 2023
Permalink -

https://acuresearchbank.acu.edu.au/item/8yyq1/system-and-method-for-object-matching

Log in to edit

Download files

Publisher's version
PA_Liao_System_and_Method_for_Object_Matching.pdf
License: All rights reserved
File access level: Open

  • 65
    total views
  • 26
    total downloads
  • 0
    views this month
  • 0
    downloads this month
These values are for the period from 19th October 2020, when this repository was created.

Export as

Related outputs

Demo : SenShaMart - A sensor sharing marketplace for IoT
Dawod, Anas, Georgakopoulos, Dimitrios, Jayaraman, Prem Prakash, Milovac, Josip Karabotic, Liao, Kewen and Chrysanthis, Panos K.. (2023). Demo : SenShaMart - A sensor sharing marketplace for IoT. 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS). Hong Kong, China 18 - 21 Jul 2023 IEEE Computer Society. pp. 1025-1028 https://doi.org/10.1109/ICDCS57875.2023.00122
Fed-SC : One-shot federated subspace clustering over high-dimensional data
Xie, Songjie, Wu, Youlong, Liao, Kewen, Chen, Lu, Liu, Chengfei, Shen, Haifeng, Tang, MingJian and Sun, Lu. (2023). Fed-SC : One-shot federated subspace clustering over high-dimensional data. 2023 IEEE 39th International Conference on Data Engineering (ICDE). Anaheim, California, United States of America 03 - 07 Apr 2023 Institute of Electrical and Electronics Engineers Inc.. pp. 2905-2918 https://doi.org/10.1109/ICDE55515.2023.00222
Efficient algorithm for the k-means problem with Must-Link and Cannot-Link constraints
Jia, Chaoqi, Guo, Longkun, Liao, Kewen and Lu, Zhigang. (2023). Efficient algorithm for the k-means problem with Must-Link and Cannot-Link constraints. Tsinghua Science and Technology. 28(6), pp. 1050-1062. https://doi.org/10.26599/TST.2022.9010056
Hamstring strain injury risk factors in Australian Football change over the course of the season
Sim, Aylwin, Timmins, Ryan G., Ruddy, Joshua D., Shen, Haifeng, Liao, Kewen, Maniar, Nirav, Hickey, Jack T., Williams, Morgan D. and Opar, David A.. (2023). Hamstring strain injury risk factors in Australian Football change over the course of the season. Medicine and Science in Sports and Exercise. https://doi.org/10.1249/MSS.0000000000003297
Submodular maximization over data streams with differential privacy noise
Guo, Longkun, Liao, Kewen, Xiao, Di and Yao, Pei. (2023). Submodular maximization over data streams with differential privacy noise. Theoretical Computer Science. 944, p. Article 113625. https://doi.org/10.1016/j.tcs.2022.11.011
A metadata-assisted cascading ensemble classification framework for automatic annotation of open IoT data
Montori, Federico, Liao, Kewen, Giosa, Matteo De, Jayaraman, Prem Prakash, Bononi, Luciano, Sellis, Timos and Georgakopoulos, Dimitrios. (2023). A metadata-assisted cascading ensemble classification framework for automatic annotation of open IoT data. IEEE Internet of Things Journal. 10(15), pp. 13401-13413. https://doi.org/10.1109/JIOT.2023.3263213
Fast approximation algorithms for multiple coverage with unit disks
Gao, Xuening, Guo, Longkun and Liao, Kewen. (2022). Fast approximation algorithms for multiple coverage with unit disks. 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM). Belfast, United Kingdom 14 - 17 Jun 2022 IEEE Computer Society. pp. 185-193 https://doi.org/10.1109/WoWMoM54355.2022.00037
Do simpler statistical methods perform better in multivariate long sequence time-series forecasting?
Li, Hao, Shao, Jie, Liao, Kewen and Tang, Mingjian. (2022). Do simpler statistical methods perform better in multivariate long sequence time-series forecasting? CIKM '22: The 31st ACM International Conference on Information and Knowledge Management. Atlanta, Georgia, United States of America 17 - 21 Oct 2022 Association for Computing Machinery (ACM). pp. 4168-4172 https://doi.org/10.1145/3511808.3557585
CorrDetector : A framework for structural corrosion detection from drone images using ensemble deep learning
Forkan, Abdur Rahim Mohammad, Kang, Yong-Bin, Jayaraman, Prem Prakash, Liao, Kewen, Kaul, Rohit, Morgan, Graham, Ranjan, Rajiv and Sinha, Samir. (2022). CorrDetector : A framework for structural corrosion detection from drone images using ensemble deep learning. Expert Systems with Applications. 193, p. Article 116461. https://doi.org/10.1016/j.eswa.2021.116461
CNN attention guidance for improved orthopedics radiographic fracture classification
Liao, Zhibin, Liao, Kewen, Shen, Haifeng, van Boxel, Marouska F, Prijs, Jasper, Jaarsma, Ruurd L., Doornberg, Job N., van den Hengel, Anton and Verjans, Johan W.. (2022). CNN attention guidance for improved orthopedics radiographic fracture classification. IEEE Journal of Biomedical and Health Informatics. 26(7), pp. 3139-3150. https://doi.org/10.1109/JBHI.2022.3152267
On finding maximum disjoint paths with different colors : Computational complexity and practical LP-based algorithms
Deng, Yunyun, Guo, Longkun, Liao, Kewen and Chen, Yi. (2021). On finding maximum disjoint paths with different colors : Computational complexity and practical LP-based algorithms. Theoretical Computer Science. 886, pp. 157-168. https://doi.org/10.1016/j.tcs.2021.08.009
Understanding the effects of real-time sentiment analysis and morale visualisation in backchannel systems : A case study
Wyeld, Theodor, Jiranantanagorn, Peerumporn, Shen, Haifeng, Liao, Kewen and Bednarz, Tomasz. (2021). Understanding the effects of real-time sentiment analysis and morale visualisation in backchannel systems : A case study. International Journal of Human-Computer Studies. 145, p. Article 102524. https://doi.org/10.1016/j.ijhcs.2020.102524
Human-AI interactive and continuous sensemaking : A case study of image classification using scribble attention maps
Shen, Haifeng, Liao, Kewen, Liao, Zhibin, Doornberg, Job, Qiao, Maoying, van den Hengel, Anton and Verjans, Johan W.. (2021). Human-AI interactive and continuous sensemaking : A case study of image classification using scribble attention maps. CHI Conference on Human Factors in Computing Systems. Virtual 08 - 13 May 2021 pp. 1-8 https://doi.org/10.1145/3411763.3451798
Inferring location types with geo-social-temporal pattern mining
Anwar, Tarique, Liao, Kewen, Goyal, Angelic, Sellis, Timos, Kayes, A. S. M. and Shen, Haifeng. (2020). Inferring location types with geo-social-temporal pattern mining. IEEE Access. 8, pp. 154789-154799. https://doi.org/10.1109/ACCESS.2020.3018997
Temporal betweenness centrality in dynamic graphs
Tsalouchidou, Ioanna, Baeza-Yates, Ricardo, Bonchi, Francesco, Liao, Kewen and Sellis, Timos. (2020). Temporal betweenness centrality in dynamic graphs. International Journal of Data Science and Analytics. 9(3), pp. 257 - 272. https://doi.org/10.1007/s41060-019-00189-x
Fast anomaly detection in multiple multi-dimensional data streams
Sun, Hongyu, He, Qiang, Liao, Kewen, Sellis, Timos, Guo, Longkun, Zhang, Xuyun, Shen, Jun and Chen, Feifei. (2019). Fast anomaly detection in multiple multi-dimensional data streams. 2019 IEEE International Conference on Big Data. Los Angeles, California, United States of America 09 - 12 Dec 2019 IEEE Computer Society. pp. 1218-1223 https://doi.org/10.1109/BigData47090.2019.9006354
Performance-aware cost-effective resource provisioning for future grid iot-cloud system
Li, Weiling, Liao, Kewen, He, Qiang and Xia, Yunni. (2019). Performance-aware cost-effective resource provisioning for future grid iot-cloud system. Journal of Energy Engineering. 145(5), pp. 2-13. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000611
On effective and efficient graph edge labeling
Goonetilleke, Oshini, Koutra, Danai, Liao, Kewen and Sellis, Timos. (2019). On effective and efficient graph edge labeling. Distributed and Parallel Databases. 37(1), pp. 5-38. https://doi.org/10.1007/s10619-018-7234-4
Contextual community search over large social networks
Chen, Lu, Liu, Chengfei, Liao, Kewen, Li, Jianxin and Zhou, Rui. (2019). Contextual community search over large social networks. 35th International Conference on Data Engineering (ICDE). Macao, China: IEEE Computer Society. pp. 88 - 99 https://doi.org/10.1109/ICDE.2019.00017
Efficient algorithms for flexible sweep coverage in crowdsensing
Huang, Peihuang, Zhu, Wenxing, Liao, Kewen, Sellis, Timos, Yu, Zhiyong and Guo, Longkun. (2018). Efficient algorithms for flexible sweep coverage in crowdsensing. IEEE Access. 6, pp. 50055-50065. https://doi.org/10.1109/ACCESS.2018.2868931
Classification and annotation of open internet of things datastreams
Montori, Federico, Liao, Kewen, Jayaraman, Prem Prakash, Bononi, Luciano, Sellis, Timos and Georgakopoulos, Dimitrios. (2018). Classification and annotation of open internet of things datastreams. 19th International Conference, Web Information Systems Engineering, WISE 2018. Dubai, United Arab Emirates 12 2018 - 15 Nov 2019 Springer. pp. 209-224 https://doi.org/10.1007/978-3-030-02925-8_15
A fast algorithm for optimally finding partially disjoint shortest paths
Guo, Longkun, Deng, Yunyun, Liao, Kewen, He, Qiang, Sellis, Timos and Hu, Zheshan. (2018). A fast algorithm for optimally finding partially disjoint shortest paths. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, July 13-19, 2018. Stockholm, Sweden: International Joint Conferences on Artificial Intelligence. pp. 1456 - 1462 https://doi.org/10.24963/ijcai.2018/202
A cost model for long-term compressed data retention
Liao, Kewen, Moffat, Alistair, Petri, Matthias and Wirth, Anthony. (2017). A cost model for long-term compressed data retention. 10th International Conference on Web Search and Data Mining. United States of America: Association for Computing Machinery. pp. 241 - 249 https://doi.org/10.1145/3018661.3018738
Edge labeling schemes for graph data
Goonetilleke, Oshini, Koutra, Danai, Sellis, Timos and Liao, Kewen. (2017). Edge labeling schemes for graph data. 29th International Conference on Scientific and Statistical Database Management. United States of America: Association for Computing Machinery. pp. 1 - 12 https://doi.org/10.1145/3085504.3085516
Effective construction of relative Lempel-Ziv dictionaries
Liao, Kewen, Petri, Matthias, Moffat, Alistair and Wirth, Anthony. (2016). Effective construction of relative Lempel-Ziv dictionaries. WWW '16: 25th International World Wide Web Conference. Switzerland: Association for Computing Machinery. pp. 807 - 816 https://doi.org/10.1145/2872427.2883042
Improved approximation algorithms for constrained fault-tolerant resource allocation
Liao, Kewen, Shen, Hong and Guo, Longkun. (2015). Improved approximation algorithms for constrained fault-tolerant resource allocation. Theoretical Computer Science. 590, pp. 118-128. https://doi.org/10.1016/j.tcs.2015.02.029
Improved approximation algorithms for computing k disjoint paths subject to two constraints
Guo, Longkun, Shen, Hong and Liao, Kewen. (2015). Improved approximation algorithms for computing k disjoint paths subject to two constraints. Journal of Combinatorial Optimization. 29(1), pp. 153-164. https://doi.org/10.1007/s10878-013-9693-x
Brief announcement : Efficient approximation algorithms for computing k disjoint restricted shortest paths
Guo, Longkun, Liao, Kewen, Shen, Hong and Li, Peng. (2015). Brief announcement : Efficient approximation algorithms for computing k disjoint restricted shortest paths. 27th ACM Symposium on Parallelism in Algorithms and Architectures. Portland, Oregon, United States of America 13 - 15 Jun 2015 Association for Computing Machinery. pp. 62–64 https://doi.org/10.1145/2755573.2755608
LP-based approximation algorithms for reliable resource allocation
Liao, Kewen and Shen, Hong. (2014). LP-based approximation algorithms for reliable resource allocation. The Computer Journal. 57(1), pp. 154-164. https://doi.org/10.1093/comjnl/bxs164
On the shallow-light Steiner tree problem
Guo, Longkun, Liao, Kewen and Shen, Hong. (2014). On the shallow-light Steiner tree problem. 15th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2014). Hong Kong, China 09 - 14 Dec 2014 IEEE Computer Society. pp. 56-60 https://doi.org/10.1109/PDCAT.2014.17
Effect of off-zenith observations on reducing the impact of precipitation on ground-based microwave radiometer measurement accuracy
Xu, Guirong, Stick Ware, Randolph, Zhang, Wengang, Feng, Guangliu, Liao, Kewen and Liu, Yibing. (2014). Effect of off-zenith observations on reducing the impact of precipitation on ground-based microwave radiometer measurement accuracy. Atmospheric Research. 140-141, pp. 85 - 94. https://doi.org/10.1016/j.atmosres.2014.01.021