2006/07/18 by Emmanuel Ramasso, Ramasso, Emmanuel, Michèle Rombaut +3
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimedia (cs.MM) #Target Tracking and Data Fusion in Sensor Networks #cs.MM
paper · pdf · doi:10.48550/arxiv.cs/0607087
8 pages
arxiv created 2006/07/18 · openalex publication_date 2006/07/18 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In the context of human action recognition in video sequences, a temporal belief filter is presented. It allows to cope with human action disparity and low quality videos. The whole system of action recognition is based on the Transferable Belief Model (TBM) proposed by P. Smets. The TBM allows to explicitly model the doubt between actions. Furthermore, the TBM emphasizes the conflict which is exploited for action recognition. The filtering performance is assessed on real video sequences acquired by a moving camera and under several unknown view angles.