Illumination Independent Moving Object Detection Algorithm

2014 ◽  
pp. 1-14
Keyword(s):  
Object Detection ◽  
Detection Algorithm ◽  
Moving Object Detection ◽  
Moving Object ◽  
Outdoor Environment ◽  
Model Method ◽  
Background Updating ◽  
Model Background ◽  
Illumination Changes ◽  
Analytical Parameter

A new, simple, fast, and effective method for moving object detection to an outdoor environment, invariant to extreme illumination changes, is presented as an improvement to the shading model method. It is based on an analytical parameter introduced in the shading model, background updating technique, and window processing.

scholarly journals New algorithm for moving object detection

2004 ◽  
Vol 14 (1) ◽  
pp. 117-132 ◽  
Author(s):  
Vesna Zeljkovic ◽  
Zeljen Trpovski ◽  
Vojin Senk
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Model Method ◽  
Background Updating ◽  
Model Background ◽  
Illumination Changes ◽  
Outdoor Environments ◽  
Analytical Parameter

A new, simple, fast and effective method for moving object detection in outdoor environments, invariant to extreme illumination changes is presented as an improvement to the shading model method described in [8]. It is based on an analytical parameter introduced in the shading model, background updating technique and window processing.

Improved Spatial-Temporal Moving Object Detection Method Resistant to Noise

2014 ◽  
pp. 46-57
Keyword(s):  
Object Detection ◽  
Moving Objects ◽  
Noise Suppression ◽  
Detection Algorithm ◽  
Moving Object Detection ◽  
Moving Object ◽  
Second Phase ◽  
Moving Objects Detection ◽  
Illumination Changes ◽  
Objects Detection

The resistance of the improved moving objects detection algorithm to various types of additive and multiplicative noise is discussed. The algorithm’s first phase contains the noise suppression filter based on spatiotemporal blocks including dimensionality reduction technique for a compact scalar representation of each block, and the second phase consists of the moving object detection algorithm resistant to illumination changes that detects and tracks moving objects.

Improved Illumination Independent Moving Object Detection Algorithm

2014 ◽  
pp. 15-22
Keyword(s):  
Real World ◽  
Moving Objects ◽  
Image Sequence ◽  
Detection Algorithm ◽  
Moving Object Detection ◽  
Moving Object ◽  
Detection Technique ◽  
Real Image ◽  
Illumination Changes ◽  
Precision And Accuracy

A real time change detection technique is proposed in order to detect the moving objects in a real image sequence. The described method is independent of the illumination of the analyzed scene. It is based on a comparison of corresponding pixels that belong to different frames and combines time and space analysis, which augments the algorithm’s precision and accuracy. The efficiency of the described technique is illustrated on a real world interior video sequence recorded under significant illumination changes.

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