Simone Calderara
ABSTRACT
Multimedia surveillance relates to the exploitation of multimedia tools for retrieving information from surveillance data, for emerging applications such as video post-analysis for forensic purposes. Searching for all the sequences in which a certain person was present is a typical query that is carried out by means of example images. Unfortunately, surveillance cameras often have low resolution, making retrieval based on appearance difficult. This paper proposes to exploit a two-step retrieval process that merges similarity-based retrieval with multicamera tracking-based retrieval able to create consistent traces of a person from different views and, thus, different resolutions. A mixture model is used to summarize these traces into a single prototype on which retrieval is performed. Experimental results demonstrate the accuracy of the retrieval process also in the case of varying illumination conditions.
- G. Amato, C. Gennaro, F. Rabitti, and P. Savino. MILOS: A multimedia content management system for digital library applications. In Proc. of ECDL - LNCS, volume 3232, pages 14--25, September 2004.Google Scholar
Cross Ref
- R. R. Brooks, P. Ramanathan, and A. M. Sayeed. Distributed target classification and tracking in sensor networks. Proc. of the IEEE, 91(8):1163--1171, August 2003.Google ScholarCross Ref
- Q. Cai and J. K. Aggarwal. Tracking human motion in a structured environment using a distributed camera system. IEEE Trans. on PAMI, 21(11):1241--1247, November 1999. Google ScholarDigital Library
- S. Calderara, R. Cucchiara, and A. Prati. Group detection at camera handoff for collecting people appearance in multi-camera systems. In Proc. of IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2006. Google ScholarDigital Library
- S. Calderara, R. Vezzani, A. Prati, and R. Cucchiara. Entry edge of field of view for multi-camera tracking in distributed video surveillance. In Proc. of IEEE International Conference on Advanced Video and Signal-Based Surveillance, pages 93--98, 2005.Google ScholarCross Ref
- R.T. Collins, A.J. Lipton, H. Fujiyoshi, and T. Kanade. Algorithms for cooperative multisensor surveillance. Proc. of the IEEE, 89: 1456--1477, October 2001.Google ScholarCross Ref
- R. Cucchiara. Multimedia surveillance systems. In Proc. of Third ACM International Workshop on Video Surveillance and Sensor Networks (VSSN 2005), pages 3--10, November 2005. Google ScholarDigital Library
- R. Cucchiara, C. Grana, M. Piccardi, and A. Prati. Detecting moving objects, ghosts and shadows in video streams. IEEE Trans. on PAMI, 25(10):1337--1342, October 2003. Google ScholarDigital Library
- R. Cucchiara, C. Grana, G. Tardini, and R. Vezzani. Probabilistic people tracking for occlusion handling. In Proc. of International Conference on Pattern Recognition (ICPR 2004), volume 1, pages 132--135, August 2004. Google ScholarDigital Library
- R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification (2nd ed.). Wiley Interscience, 2004. Google ScholarDigital Library
- A. Fidaleo, H. Nguyen, and M. Trivedi. The network sensor tapestry (NeST): A privacy enhanced software architecture for interactive analysis of data in video-sensor networks. In Proc. of ACM Workshop on Video Surveillance and Sensor Networks, pages 46--53, 2004. Google ScholarDigital Library
- S. Khan and M. Shah. Consistent labeling of tracked objects in multiple cameras with overlapping fields of view. IEEE Trans. on PAMI, 25(10):1355--1360, October 2003. Google ScholarDigital Library
- K-Y. Lam and C. K. H. Chiu. Adaptive visual object surveillance with continuously moving panning camera. In Proc. of ACM Workshop on Video Surveillance and Sensor Networks, pages 29--38, 2004. Google ScholarDigital Library
- M. Valera Espina and S. A. Velastin.Intelligent distributed surveillance systems: A review. IEE Proceedings - Vision, Image and Signal Processing, 152(2): 192--204, April 2005.Google ScholarCross Ref
Index Terms
- Multimedia surveillance: content-based retrieval with multicamera people tracking
Recommendations
Multimedia surveillance systems
VSSN '05: Proceedings of the third ACM international workshop on Video surveillance & sensor networksThe integration of video technology and sensor networks constitutes the fundamental infrastructure for new generations of multimedia surveillance systems, where many different media streams (audio, video, images, textual data, sensor signals) will ...
HECOL: Homography and epipolar-based consistent labeling for outdoor park surveillance
Outdoor surveillance is one of the most attractive application of video processing and analysis. Robust algorithms must be defined and tuned to cope with the non-idealities of outdoor scenes. For instance, in a public park, an automatic video ...
Complemental Use of Multiple Cameras for Stable Tracking of Multiple Markers
VMR '09: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009In many applications of Augmented Reality (AR), rectangular markers are tracked in real time by capturing with cameras. In this paper, we consider the AR application in which virtual objects are displayed onto markers while the markers and the cameras ...
Comments