An effective automatic tracking algorithm based on Camshift and Kalman filter

2011 ◽  
Author(s):  
Juan Liang ◽  
Jianhua Hou ◽  
Jun Xiang ◽  
Bangyou Da ◽  
Shaobo Chen
Keyword(s):  
Kalman Filter ◽  
Tracking Algorithm ◽  
Automatic Tracking

Hybrid Attributes Technique Filter for the Tracking of Crowd Behavior

2021 ◽  
pp. 38-47
Author(s):  
Hocine Chebi
Keyword(s):  
Kalman Filter ◽  
Abnormal Behavior ◽  
Crowd Behavior ◽  
Automatic Tracking ◽  
Visual Systems

In this chapter, the authors propose two algorithms based on the device of attributes for tracking of the abnormal behavior of crowd in the visual systems of surveillance. Previous works were realized in the case of detection of behavior, which uses the analysis and the classification of behavior of crowds; this work explores the continuity in the same domain, but in the case of the automatic tracking based on the techniques of filtering one using the KALMAN filter and particles filter. The proposed algorithms he the technique of filter with particle is independent from the detection and from the segmentation human, so is strong with regard to (compared with) the filter of Kalman. In conclusion, the chapter applies the method for tracking of the abnormal behavior to several videos and shows the promising results.

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