Multimodal abandoned/removed object detection for low power video surveillance systems

6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009

Volumn , Issue , 2009, Pages 188-193

  Magno, Michele ^a   Tombari, Federico ^a   Brunelli, Davide ^a   Di Stefano, Luigi ^a   Benini, Luca ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL CAPABILITY; EVENT RECOGNITION; FLOATING POINT IMPLEMENTATION; LOW-POWER VIDEO; MAXIMUM EFFICIENCY; MEMORY CONSTRAINTS; MULTI-MODAL; MULTIMODAL SENSOR; OBJECT DETECTION; POWER CONSUMPTION; PRIMARY DESIGN; PYROELECTRIC INFRARED SENSORS; RUN-TIME EXECUTION; VIDEO SURVEILLANCE; VISUAL DATA; WIRELESS VIDEO;

COMPUTATIONAL EFFICIENCY; ELECTRIC POWER UTILIZATION; MONITORING; REAL TIME SYSTEMS; SENSOR NETWORKS; SENSOR NODES; SENSORS; SIGNAL DETECTION; TELECOMMUNICATION EQUIPMENT; VIDEO AMPLIFIERS; WIRELESS SENSOR NETWORKS;

SECURITY SYSTEMS;

EID: 72349096504     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2009.72     Document Type: Conference Paper

References (24)

1. S. Lu, J. Zhang, and D. Feng, "A knowledge-based approach for detecting unattended packages in surveillance video," in Proc. IEEE Int. Conf. on Advanced Video and Signal Based Surveillance (AVSS 06), 2006.
2. S. Lim and L. Davis, "A one-threshold algorithm for detecting abandoned packages under severe occlusions using a single camera," CS Dept., University of Maryland, Tech. Rep. CS-TR-4784, 2006.
3. S. Ferrando, G. Gera, and C. Regazzoni, "Classification of unattended and stolen objects in video-surveillance system," in Proc. IEEE Int. Conf. on Advanced Video and Signal Based Surveillance (AVSS 06), 2006.
4. J. San Miguel and J. Martnez, "Robust unattended and stolen object detection by fusing simple algorithms," in Proc. IEEE Int. Conf. on Advanced Video and Signal Based Surveillance (AVSS 08), 2008, pp. 18-25.
5. M. Bhargava, C. Chen, M. Ryoo, and J. Aggarwal, "Detection of abandoned objects in crowded environments," in Proc. of IEEE Conf. on Advanced Video and Signal Based Surveillance (AVSS07), 2007, pp. 271-276.
6. F. Porikli, Y. Ivanov, and T. Haga, "Robust abandoned object detection using dual foregrounds," EURASIP Journal on Advances in Signal Processing, vol. 2008, no. 1, 2008.
7. M. Spengler and B. Schiele, "Automatic Detection and Tracking of Abandoned Objects," in Proc. IEEE Int. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2003.
8. Y. e. a. Tian, "Robust and efficient foreground analysis for realtime video surveillance," in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 05), 2005, pp. 1182-1187.
9. P. Spagnolo, A. Caroppo, M. Leo, T. Martifiggiano, and T. D'orazio, "An abandoned/removed objects detection algorithm and its evaluation on pets datasets," in Proc. IEEE Conf. on Advanced Video and Signal Based Surveillance (AVSS 06), 2006, p. 17.
10. M. Beynon, D. Van Hook, M. Seibert, A. Peacock, and D. Dudgeon, "Detecting abandoned packages in a multi-camera video surveillance system," in Proc. IEEE Conf. on Advanced Video and Signal Based Surveillance (AVSS 03), 2003, pp. 221-228.
11. C. Sacchi and C. Regazzoni, "A distributed surveillance system for detection of abandoned objects in unmanned railway environments," IEEE Trans. Vehicular Technology, vol. 49, no. 5, 2000.
12. N. Bird, S. Atev, N. Caramelli, R. Martin, O. Masoud, and N. Papanikolopoulos, "Real time, online detection of abandoned objects in public areas," in Proc. IEEE Conf. on Robotics and Automation (ICRA06), 2006, pp. 3775 - 3780.
13. M. Magno, F. Tombari, D. Brunelli, L. Di Stefano, and L. Benini, "Multi-modal video surveillance aided by pyroelectric infrared sensors," in Proc. ECCV Workshop on Multi-camera and Multi-modal Sensor Fusion, Algorithms and Applications (M2SFA2), 2008.
14. P. de la Hamette et al., "Architecture and applications of the fingermouse: a smart stereo camera for wearable computing hci," Personal Ubiquitous Comput., vol. 12, no. 2, pp. 97-110, 2008.
15. D. Corley and E. Jovanov, "A low power intelligent video-processing sensor," in Proc. Thirty-Fourth Southeastern Symposium on System Theory, 2002, pp. 176-178.
16. D. Li, Y. Jiang, and G. Chen, "A low cost embedded color vision system based on sx52," in Proc. IEEE International Conference on Information Acquisition, 2006, pp. 883-887.
17. G. Zhang, T. Yang, S. Gregori, J. Liu, and F. Maloberti, "Ultra-low power motion-triggered image sensor for distributed wireless sensor network," in Proc. IEEE Sensors, vol. 2, 2003, pp. 1141-1146 Vol.2.
18. W.-c. Feng, B. Code, E. Kaiser, M. Shea, W.-c. Feng, and L. Bavoil, "Panoptes: scalable low-power video sensor networking technologies," in MULTIMEDIA '03: Proceedings of the eleventh ACM international conference on Multimedia. New York, NY, USA: ACM, 2003, pp. 562-571.
19. L. Ferrigno and A. Pietrosanto, "A low cost visual sensor node for bluetooth based measurement networks," in Proc. 21st IEEE Instrumentation and Measurement Technology Conference IMTC 04, vol. 2, 2004, pp. 895-900 Vol.2.
20. P. Garda, O. Romain, B. Granado, A. Pinna, D. Faura, and K. Hachicha, "Architecture of an intelligent beacon for wireless sensor networks," in Proc. NNSP'03 Neural Networks for Signal Processing 2003 IEEE 13th Workshop on, 2003, pp. 151-158.
21. T. e. a. He, "Vigilnet: An integrated sensor network system for energy-efficient surveillance," ACM Trans. Sen. Netw., vol. 2, no. 1, pp. 1-38, February 2006.
22. A. Rajgarhia, F. Stann, and J. Heidemann, "Privacy-sensitive monitoring with a mix of IR sensors and cameras," in Proceedings of the Second International Workshop on Sensor and Actor Network Protocols and Applications, August 2004, pp. 21-29.
23. F. Tombari, L. Di Stefano, and S. Mattoccia, "A robust measure for visual correspondence," in Proc. Int. Conf. on Image Analysis and Processing, 2007, pp. 376-381.
24. L. Di Stefano and A. Bulgarelli, "A simple and efficient connected components labeling algorithm," in Proc. Int. Conf. on Image Analysis and Processing (ICIAP 99), 1999, pp. 322-327.