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LittleBrother: Vision Systems Supporting Detection of Offenders in Public Places

Funding: 2004: $56,000
2005: $56,000
2006: $56,000

Project Member(s): Piccardi, M., He, X., Wu, Q.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)
Australian Research Council (Other funds for ARC projects)

Start year: 2004

Summary: Current visual surveillance systems can track people in an area only if complete camera coverage is provided. This project will develop a visual surveillance system able to track and record people s movements in a public building requiring only limited visual coverage. We will propose novel ways of matching images of a single individual from distant cameras by using features such as color histograms decomposed for the different body parts, estimated height, and build type. Creating a record with this tracking information will effectively support security officers in the identification of responsible parties in the event of an offence.''

Publications:

Zuo, Y, Wu, Q, Zhang, J & An, P 2018, 'Explicit Edge Inconsistency Evaluation Model for Color-guided Depth Map Enhancement', IEEE Transactions on Circuits and Systems for Video Technology.
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Edwards, D, Cheng, M, Wong, A, Zhang, J & Wu, Q 2017, 'Ambassadors of Knowledge Sharing: Co-produced Travel Information Through Tourist-Local Social Media Exchange', International Journal of Contemporary Hospitality Management, vol. 29, no. 2, pp. 690-708.
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Wang, Y, Zhang, J, Liu, Z, Wu, Q, Chou, P, Zhang, Z & Jia, Y 2016, 'Handling Occlusion and Large Displacement through Improved RGB-D Scene Flow Estimation', IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 7, pp. 1265-1278.
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Cheng, E & Piccardi, M 2007, 'Disjoint Track Matching Based On A Major Color Spectrum Histogram Representation', Optical Engineering, vol. 46, no. 4, pp. 1-14.
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Madden, CS, Cheng, E & Piccardi, M 2007, 'Tracking people across disjoint camera views by an illumination-tolerant appearance representation', Machine Vision and Applications, vol. 18, no. 3-4, pp. 233-247.
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Madden, CS & Piccardi, M 2007, 'A Framework for Track Matching Across Disjoint Cameras using Robust Shape and Appearance Features', Proceedings of 2007 IEEE Conference on Advanced Video and Signal Based Surveillance, Advanced Video and Signal Based Surveillance, IEEE Computer Society, London, UK, pp. 188-193.
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Madden, CS & Piccardi, M 2007, 'Detecting Major Segmentation Errors for a Tracked Person Using Colour Feature Analysis', Proceedings of 14th International Conference on Image Analysis and Processing 2007, International Conference on Image Analysis and Processing, IEEE Computer Society, Modena, Italy, pp. 524-529.
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Cheng, E & Piccardi, M 2006, 'Matching Moving Objects by parts with a maximum likelihood criterion', Proceedings of Image and Vision Computing New Zealand 2006, Image and Vision Computing Conference, University of Auckland, New Zealand, pp. 373-378.
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Cheng, E & Piccardi, M 2006, 'Matching of objects moving across disjoint cameras', Proceedings of IEEE ICIP 2006, IEEE International Conference on Image Processing, IEEE, Atlanta, USA, pp. 1769-1772.
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Cheng, E, Piccardi, M & Madden, CS 2006, 'Mitigating the effects of variable illumination for tracking across disjoint camera views', Proceedings of the IEEE Int Conf on Video and Signal Based Surveillance (AVSS 2006), Advanced Video and Signal Based Surveillance, IEEE Computer Society, Sydney, Australia, pp. 32-37.
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Jia, W, Zhang, H, He, S & Wu, Q 2006, 'A comparison on histogram based image matching methods', Proceedings of the IEEE international conference on video and signal based surveillance, Advanced Video and Signal Based Surveillance, IEEE Computer Society, Sydney, Australia, pp. 1-6.
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Jia, W, Zhang, H, He, S & Wu, Q 2006, 'Image matching using color edge coocurrence histogram', Proceedings of the 2006 IEEE international conference on systems, man and cybernetics, IEEE Conference on Systems, Man and Cybernetics, IEEE, Taipei, Taiwan, pp. 2413-2419.
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Piccardi, M & Cheng, E 2006, 'Multi-Frame Moving object track matching based on an incremental major colour spectrum histogram matching algorithm', Proceedings 3rd Joint IEEE International workshop on Object tracking and classification in any beyond the visible spectrum (OTCBVS 06), Joint IEEE International workshop on Object tracking and clissification in any beyond the visible spectrum (OTCBVS 06), IEEE, New York, USA, pp. 1-6.
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Cheng, E & Piccardi, M 2005, 'Track matching by major color histograms matching and post-matching integration', Image Analysis And Processing - ICIAP 2005, Proceedings, vol. 3617, pp. 1148-1157.
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Cheng, E & Piccardi, M 2005, 'Disjoint camera track matching by an illumination effects reduction and major colour spectrum histograms representation algorithms', Proceedings Image and vision computing New Zealand 2005, Image and Vision Computing Conference, Wickliffe Ltd, Dunedin, New Zeland, pp. 432-437.
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Madden, CS & Piccardi, M 2005, 'Height measurement as a session-based biometric for people matching across disjoint camera views', Proceedings Image and Vision Computing New Zealand 2005, Image and Vision Computing Conference, Wickliffe Ltd, Dunedin, New Zealand, pp. 282-286.
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Piccardi, M & Cheng, E 2005, 'Track matching over disjoint camera views based on an incremental major color spectrum histogram', AVSS 2005 IEEE International Conference on Advanced video and signal based surveillance, Advanced Video and Signal Based Surveillance, IEEE, Como, Itlay, pp. 147-152.
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Zhang, H, Jia, W, He, S & Wu, Q 2005, 'Modified Colour Ratio Gradients', 2005 IEEE Seventh workshop on Multimedia Signal Processing, International Workshop on Multimedia Signal Processing, IEEE, Shanghai, China, pp. 317-320.
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Piccardi, M 2004, 'Background Subtraction techniques: a review', Proceedings of 2004 IEEE International Conference on Systems, Man and Cybernetics, IEEE Conference on Systems, Man and Cybernetics, IEEE, The Hague, The Netherlands, pp. 3099-3104.
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Piccardi, M & Jan, T 2004, 'Mean-Shift Background Image Modelling', Proceedings of IEEE International Conference on Image Processing 2004, IEEE International Conference on Image Processing, IEEE, Singapore City, Singapore, pp. 3399-3402.
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Keywords: Visual Surveillance Computer Vision Crime Prevention

FOR Codes: Computer Vision, Commercial security services, Property Services (incl. Security)