Time-Varying-Geometry Object Surveillance Using A Multi-Camera Active-Vision System

1K.A. Tarabanis, P.K. Allen, and R.Y. Tsai, “A Survey of Sensor Planning in Computer Vision,” IEEE Transactions on Robotics and Automation, vol. 11, no. 1, pp 86–104, Feb. 1995.10.1109/70.345940Search in Google Scholar

2J. Miura and K. Ikeuchi, “Task-Oriented Generation of Visual Sensing Strategies in Assembly Tasks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 2, pp. 126-138, Feb. 1998.10.1109/34.659931Search in Google Scholar

3M.D. Naish, E.A. Croft, and B. Benhabib, “Coordinated Dispatching of Proximity Sensors for the Surveillance of Maneuvering Targets,” Journal of Robotics and Computer Integrated Manufacturing, Vol. 19, No. 3, pp. 283-299, 2003.10.1016/S0736-5845(02)00085-6Search in Google Scholar

4S. Sakane, T. Sato, and M. Kakikura, “Model-Based Planning of Visual Sensors Using a Hand-Eye Action Simulator: HEAVEN,” Proc. of Conf. on Advanced Robotics, pp. 163–174, Versailles, France, Oct. 1987.10.1163/156855387X00138Search in Google Scholar

5C.K. Cowan and P.D. Kovesik, “Automated Sensor Placement for Vision Task Requirements,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, no. 3, pp. 407-416, May 1988.10.1109/34.3905Search in Google Scholar

6R. Bodor, P. Schrater, and N. Papanikolopoulos, “Multi-Camera Positioning to Optimize Task Observability,” Proc. of IEEE Conf. on Advanced Video and Signal Based Surveillance, pp. 552-557, 2005.Search in Google Scholar

7S. Yu, D. Tan, and T. Tan, “A Framework for Evaluating the Effect of View Angle, Clothing, and Carrying Condition on Gait Recognition,” Proc. of Int. Conf. on Pattern Recognition, pp. 441-444, Hong Kong, 2006.Search in Google Scholar

8L. Hodge and M. Kamel, “An Agent-Based Approach to Multi-sensor Coordination,” IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, vol. 33, no. 5, pp. 648-662, Sept. 2003.10.1109/TSMCA.2003.817397Search in Google Scholar

9D.P Anderson, “Efficient Algorithms for Automatic Viewer Orientation,” Comp. & Graphics, vol. 9, no. 4, pp. 407-413, 1985.10.1016/0097-8493(85)90035-4Search in Google Scholar

10S. Sakane, T. Sato, and M. Kakikura, “Model-Based Planning of Visual Sensors Using a Hand-Eye Action Simulator: HEAVEN,” Proc. of Conf. on Advanced Robotics, pp. 163174, Versailles, France, Oct. 1987.Search in Google Scholar

11C.K. Cowan and P.D. Kovesik, “Automated Sensor Placement from Vision Task Requirements,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, no. 3, pp. 407-416, May 1988.10.1109/34.3905Search in Google Scholar

12D.P Anderson, “Efficient Algorithms for Automatic Viewer Orientation,” Comp. & Graphics, vol. 9, no. 4, pp. 407-413, 1985.10.1016/0097-8493(85)90035-4Search in Google Scholar

13M.K. Reed and P.K. Allen, “Constraint-Based Sensor Planning for Scene Modeling,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 12, pp. 1460-1467, Dec. 2000.Search in Google Scholar

14L. Hodge and M. Kamel, “An Agent-Based Approach to Multi-sensor Coordination,” IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, vol. 33, no. 5, pp. 648-662, Sept. 2003.10.1109/TSMCA.2003.817397Search in Google Scholar

15T. Urano, T. Matsui, T. Nakata, and H. Mizoguchi, “Human Pose Recognition by Memory-Based Hierarchical Feature Matching,” Proc. of IEEE International Conference on Systems, Man, and Cybernetics, pp. 6412-6416, The Hague, Netherlands, 2004.Search in Google Scholar

16M.D. Naish, E.A. Croft, and B. Benhabib, “Coordinated Dispatching of Proximity Sensors for the Surveillance of Maneuvering Targets,” Journal of Robotics and Computer Integrated Manufacturing, vol. 19, no. 3, pp. 283-299, 2003.10.1016/S0736-5845(02)00085-6Search in Google Scholar

17R. Murrieta-Cid, B. Tovar, and S. Hutchinson, “A Sampling-Based Motion Planning Approach to Maintain Visibility of Unpredictable Targets,” Journal of Autonomous Robots, vol. 19, no. 3, pp. 285-300, 2005.10.1007/s10514-005-4052-0Search in Google Scholar

18J. R. Spletzer, and C. J Taylor, “Dynamic Sensor Planning and Control for Optimally Tracking Targets,” Int. Journal of Robotic Research, vol. 22, no. 1, pp. 7-20, Jan. 2003.10.1177/0278364903022001002Search in Google Scholar

19M. Kamel, and L. Hodge, “A Coordination Mechanism for Model-Based Multi-Sensor Planning,” Proc. of the IEEE International Symposium on Intelligent Control, pp. 709714, Vancouver, Oct. 2002Search in Google Scholar

20J. Spletzer and C. J. Taylor, “Sensor Planning and Control in a Dynamic Environment,” Proc. of IEEE Int. Conf. Robotics and Automationpp. 676–681, Washington, DC, 2002.Search in Google Scholar

21S.G. Goodridge, R.C. Luo, and M.G. Kay, “Multi-Layered Fuzzy Behavior Fusion for Real-Time Control of Systems with Many Sensors,” IEEE Transactions on Industrial Electronics, vol. 43, no. 3, pp. 387-394, 1996.10.1109/41.499811Search in Google Scholar

22S. G. Goodridge and M. G. Kay, “Multimedia Sensor Fusion for Intelligent Camera Control,” Proc of IEEE/SICE/RSJ Multi-sensor Fusion and Integration for Intelligent Systems, pp. 655-662, Washington, DC, Dec. 1996.Search in Google Scholar

23A. Bakhtari, and B. Benhabib, “An Active Vision System for Multi-Target Surveillance in Dynamic Environments,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 37, no. 1, pp. 190-198, 2007.10.1109/TSMCB.2006.88342317278571Search in Google Scholar

24E. Marchand and F. Chaumette, “Active Vision for Complete Scene Reconstruction and Exploration,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 1, pp. 65-72, Jan. 1999.10.1109/34.745736Search in Google Scholar

25R. Pito, “A Solution to the Next Best View Problem for Automated Surface Acquisition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 10, pp. 1016-1030, Oct. 1999.Search in Google Scholar

26S.D. Roy, S. Chaudhury, and S. Banerjee, “Isolated 3-D Object Recognition through Next View Planning,” IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, vol. 30, no. 1, pp. 67-76, Jan. 2000.10.1109/3468.823482Search in Google Scholar

27J.E. Banta, L.M. Wong, C. Dumont, and M.A. Abidi, “A Next-Best-View System for Autonomous 3-D Object Reconstruction,” IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, vol. 30, no. 5, pp. 589-598, Sept. 2000.10.1109/3468.867866Search in Google Scholar

28S.Y. Chen and Y.F. Li, “Vision Sensor Planning for 3-D Model Acquisition,” IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics, vol. 35, no. 5, pp. 894-904, Oct. 2005.10.1109/TSMCB.2005.846907Search in Google Scholar

29G. Johansson, “Visual Perception of Biological Motion and a Model for its Analysis,” Percept. Psychophys., vol. 14, no. 2, pp. 201-211, 1973.10.3758/BF03212378Search in Google Scholar

30R. Chellappa, A.K. Roy-Chowdhury, and S K. Zhou, “Recognition of Humans and Their Activities Using Video,” San Rafael, CA: Morgan & Claypool Pub., pp. 53-92, 2005.10.1007/978-3-031-02236-4_3Search in Google Scholar

31J.E. Cutting and L.T. Kozlowski, “Recognizing Friends by Their Walk: Gait Perception without Familiarity Cues,” Bull. Psychonom. Soc., vol. 9, no. 5, pp. 353-356, 1977.10.3758/BF03337021Search in Google Scholar

32A. Kale, A.K. Roy-Chowdhury, and R. Chellappa, “Fusion of Gait and Face for Human Identification,” Proc. of ICASSP04, pp. 901-904, Montreal, Canada, 2004.Search in Google Scholar

33H. Kobayashi and F. Hara, “Facial Interaction between Animated 3D Face Robot and Human Beings,” Proc. of IEEE Int. Conf. on Computational Cybernetics and Simulation, pp. 3732-3737, Orlando, FL, 1997.Search in Google Scholar

34M. Dimitrijevic, V. Lepetit and P. Fua, “Human Body Pose Recognition Using SpatioTemporal Templates,” ICCV workshop on Modeling People and Human Interaction, pp. 127-139, Beijing, China, October 2005.10.1016/j.cviu.2006.07.007Search in Google Scholar

35D. Cunado, M. S. Nixon, and J. Carter, “Automatic Extraction and Description of Human Gait Models for Recognition Purposes,” Computer Vision and Image Understanding, vol. 90, pp. 1-41, 2003.10.1016/S1077-3142(03)00008-0Search in Google Scholar

36G. V. Veres, L. Gordon, J. N. Carter, and M.S. Nixon, “What Image Information is Important in Silhouette-Based Gait Recognition?” Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, pp. 776-782, Washington, D.C., 2004.Search in Google Scholar

37X. Weimin, L. Ying, H, Hongzhe, X. Lun, W. Zhiliang, and C. Fengjun, “New Approach of Gait Recognition for Human ID,” Proc. of ICSP04, pp. 199-202, Beijing, China, 2004.Search in Google Scholar

38N. Rajpoot and K. Masood, “Human Gait Recognition with 3D Wavelets and Kernel based Subspace Projections,” Proc. of Workshop on Human Activity Recognition and Modeling, HAREM 2005, Oxford, UK, 2005.Search in Google Scholar

39D. Xu, S. Yan, D. Tao, L. Zhang, X. Li, and H. Zhang. “Human Gait Recognition with Matrix Representation,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 16, no. 7, pp. 896-903, July 2006.10.1109/TCSVT.2006.877418Search in Google Scholar

40R. Kalman, “A New Approach to Linear Filtering and Prediction Problems,” Journal of Basic Engineering, pp. 35-45, March 1960.10.1115/1.3662552Search in Google Scholar

41D.G. Lowe, “Object Recognition from Local Scale-Invariant Features,” Proc. of IEEE Int’l Conf. on Computer Vision, Kerkyra, Greece, pp. 1150-1157 1999.10.1109/ICCV.1999.790410Search in Google Scholar

42H. Jing, C. K. Fi, and E.C. Prakash, “Component Based Human Animation Architecture – Design Issues,” Proc. of TENCON, vol. 2, pp. 528-532, Kuala Lumpur, 2000.Search in Google Scholar

43J. D. Shutler, M. G. Grant, M. S. Nixon, and J. N. Carter, “On a Large Sequence-Based Human Gait Database,” Proc. of 4^th International Conference on Recent Advances in Soft Computing, pp. 66-72, Nottingham UK, 2002.Search in Google Scholar