A novel method for moving object detection based on block based frame differencing

2016 ◽  
Author(s):  
Sandeep Singh Sengar ◽  
Susanta Mukhopadhyay
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Novel Method ◽  
Block Based

Moving object detection zone using a block‐based background model

2017 ◽  
Vol 12 (1) ◽  
pp. 86-94 ◽  
Author(s):  
Omar Elharrouss ◽  
Abdelghafour Abbad ◽  
Driss Moujahid ◽  
Hamid Tairi
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Background Model ◽  
Detection Zone ◽  
Block Based

A Novel Approach for Shaded Moving Object Detection Based on Fuzzy Sets

2012 ◽  
Vol 433-440 ◽  
pp. 5293-5297
Author(s):  
Ming Feng Zhu
Keyword(s):  
Object Detection ◽  
Fuzzy Sets ◽  
Spatial Information ◽  
Image Sequences ◽  
Moving Object Detection ◽  
Moving Object ◽  
Detection And Tracking ◽  
Novel Approach ◽  
Novel Method ◽  
Indoor And Outdoor

Research of moving object detection and tracking is an interesting subject in computer vision. To improve the accuracy of shaded moving object detection, this article introduced a novel method for shaded moving object detection. This method is based on fuzzy sets and establishes association between object’s color information and spatial information through fuzzy logic to detect moving object and remove the shadow of it. When utilizing this method to process indoor and outdoor image sequences with moving object, this method can accurately detect the moving object and remove the shadow of it. In comparison experiment, this method showed more accuracy and robustness.

scholarly journals Robust moving object detection under complex background

2010 ◽  
Vol 7 (1) ◽  
pp. 201-210 ◽  
Author(s):  
Ying Ding ◽  
Li Wen-Hui ◽  
Fan Jing-Tao ◽  
Yang Hua-Min
Keyword(s):  
Object Detection ◽  
Choquet Integral ◽  
Color Space ◽  
Moving Object Detection ◽  
Moving Object ◽  
Detection Accuracy ◽  
Light Illumination ◽  
Illumination Changes ◽  
Hsi Color Space ◽  
Novel Method

We present a novel method to robustly and efficiently detect moving object, even under the complexity background, such as illumination changes, long shadows etc. This work is distinguished by three key contributions. The first is the integration of the Local Binary Pattern texture measure which extends the moving object detection work for light illumination changing. The second is the introduction of HSI color space measure which removes shadows for the background subtraction. The third contribution is a novel fuzzy way using the Choquet integral which improves detection accuracy. The experiment results using several dataset videos show the robustness and effectiveness of the proposed method.

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