Moving Object Detection and Tracking in Traffic Surveillance Video Sequences

2018 ◽  
pp. 117-128 ◽  
Author(s):  
Pranjali Gajbhiye ◽  
Naveen Cheggoju ◽  
Vishal R. Satpute
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Video Sequences ◽  
Surveillance Video ◽  
Traffic Surveillance ◽  
Object Detection And Tracking ◽  
Detection And Tracking

Moving Object Detection and Tracking Based on the Contour Extraction and Centroid Representation

2019 ◽  
pp. 147-157
Author(s):  
Naveenkumar M ◽  
Sriharsha K. V. ◽  
Vadivel A
Keyword(s):  
Object Detection ◽  
Motion Tracking ◽  
Moving Object Detection ◽  
Moving Object ◽  
Absolute Difference ◽  
Contour Extraction ◽  
Object Detection And Tracking ◽  
Detection And Tracking ◽  
Novel Approach ◽  
Extraction Algorithm

This chapter presents a novel approach for moving object detection and tracking based on contour extraction and centroid representation (CECR). Firstly, two consecutive frames are read from the video, and they are converted into grayscale. Next, the absolute difference is calculated between them and the result frame is converted into binary by applying gray threshold technique. The binary frame is segmented using contour extraction algorithm. The centroid representation is used for motion tracking. In the second stage of experiment, initially object is detected by using CECR and motion of each track is estimated by Kalman filter. Experimental results show that the proposed method can robustly detect and track the moving object.

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