Real-Time Detection of Passing Objects Using Virtual Gate and Motion Vector Analysis
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
Statistical video analysis for crowds counting
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Local empirical templates and density ratios for people counting
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
People counting by learning their appearance in a multi-view camera environment
Pattern Recognition Letters
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Deals with an application of image sequence analysis. In particular, it addresses the problem of determining the number of people who get into and out of a train carriage when it is crowded, and background and/or illumination changes. The proposed system analyzes image sequences and processes them using an algorithm based on the use of several morphological tools, which are presented in detail in the paper