Moving object detection algorithm for H.264/AVC compressed video stream

2009 ◽  
Author(s):  
Zhou Qiya ◽  
Liu Zhicheng
Keyword(s):  
Object Detection ◽  
Video Stream ◽  
Detection Algorithm ◽  
Moving Object Detection ◽  
Moving Object ◽  
Compressed Video

An Object Detection Algorithm Based on Statistical Classification of Video Stream Pixels

2014 ◽  
Vol 962-965 ◽  
pp. 2848-2851
Author(s):  
Jun Song
Keyword(s):  
Object Detection ◽  
Gaussian Mixture ◽  
Video Stream ◽  
Detection Algorithm ◽  
Moving Object Detection ◽  
Moving Object ◽  
Statistical Classification ◽  
Current Frame ◽  
Detection And Tracking

Moving object detection and tracking based on the video stream are both challenging and very broad application prospects of research topics. This paper presents a object detection algorithm based on statistical classification of video stream pixels that can solve moving object detection in the background illumination mutations. The algorithm determines the number of points of light mutations by the statistical number of foreground pixels of the current frame. In the light mutations object detection uses relatively simple frame-difference method, otherwise it adopts the improved Gaussian mixture model method to model. Experimental results show that the algorithm can complete detecting in the light mutation quickly and accurately and has strong robustness.

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