Multimedia surveillance: content-based retrieval with multicamera people tracking
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Searching in space and time: a system for forensic analysis of large video repositories
Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop
HECOL: Homography and epipolar-based consistent labeling for outdoor park surveillance
Computer Vision and Image Understanding
Machine Vision and Applications
Proceedings of the VLDB Endowment
A survey on behavior analysis in video surveillance for homeland security applications
AIPR '08 Proceedings of the 2008 37th IEEE Applied Imagery Pattern Recognition Workshop
Video surveillance and multimedia forensics: an application to trajectory analysis
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Multi-target tracking in time-lapse video forensics
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Computer
A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance
IEEE Transactions on Circuits and Systems for Video Technology
Second ACM international workshop on multimedia in forensics, security and intelligence (MiFor 2010)
Proceedings of the international conference on Multimedia
Interactive schematic summaries for exploration of surveillance video
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
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The information contained in digital video surveillance repositories can present relevant hints, when not even legal evidence, during investigations. As the amount of video data often forbids manual search, some tools have been developed during the past years in order to aid investigators in the look up process. We propose an application for forensic video analysis which aims at analysing the activities in a given scenario, particularly focusing on trajectories followed by people and their visual appearances. The recorded videos can be browsed by investigators thanks to a user-friendly interface, allowing easy information retrieval, through the choice of the best mining strategy. The underlying application architecture implements different feature and query models as well as query optimization strategies in order to return the best response in terms of both efficacy and efficiency.