Performance of optical flow techniques
International Journal of Computer Vision
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Multi-scale and real-time non-parametric approach for anomaly detection and localization
Computer Vision and Image Understanding
Robust human action recognition scheme based on high-level feature fusion
Multimedia Tools and Applications
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Digital video is being used widely in a variety of applications such as entertainment, surveillance and security. Large amount of video in surveillance and security requires systems capable of processing video to automatically detect and recognize events to alleviate the load on humans and enable preventive actions when events are detected. The main objective of this work is the analysis of computer vision techniques and algorithms to perform automatic detection of specific events in video sequences. This paper presents a surveillance system based on motion analysis and introduces the idea of event probability zones. Advantages, limitations, capabilities and possible solution alternatives are also discussed. The result is a system capable of detecting events of objects moving in opposing direction in a predefined context or running in the scene; the results showed precision greater than 50% and recall greater than 80%.