Research on Vehicle Detection and Tracking Algorithm for Intelligent Driving

2019 ◽  
Author(s):  
Jian Chen ◽  
Luchuan Dai
Keyword(s):  
Vehicle Detection ◽  
Tracking Algorithm ◽  
Detection And Tracking ◽  
Vehicle Detection And Tracking

scholarly journals Vehicle detection and tracking for traffic management

2021 ◽  
Vol 10 (1) ◽  
pp. 66
Author(s):  
Mallikarjun Anandhalli ◽  
Vishwanth P. Baligar ◽  
Pavana Baligar ◽  
Pooja Deepsir ◽  
Mithali Iti
Keyword(s):  
Traffic Management ◽  
Vehicle Detection ◽  
Research Area ◽  
Tracking Algorithm ◽  
Video Sequences ◽  
Detection And Tracking ◽  
Vehicle Detection And Tracking ◽  
Corner Points ◽  
Computer Research

<span lang="EN-US">The detection of object with respect to Vehicle and tracking is the most needed step in computer research area as there is wide investment being made form Intelligent Traffic Management. Due to changes in vision or scenes, detection and tracking of vehicle under different drastic conditions has become most challenging process because of the illumination, shadows etc. To overcome this, we propose a method which uses TensorFlow fused with corner points of the vehicles for detection of vehicle and tracking of an vehicle is formulated again, the location of the object which is detected is passed to track the detected object, using the tracking algorithm based on CNN. The proposed algorithm gives result of 90.88% accuracy of detection in video sequences under different conditions of climate.</span>

Research on Moving Vehicle Detection and Tracking Algorithm Based on Video Image

2011 ◽  
Vol 467-469 ◽  
pp. 1488-1492 ◽  
Author(s):  
Xin Sha Fu ◽  
Juan Zhu
Keyword(s):  
Difference Method ◽  
Moving Objects ◽  
Vehicle Detection ◽  
Tracking Algorithm ◽  
Moving Vehicle ◽  
Detection And Tracking ◽  
Vehicle Detection And Tracking ◽  
Computer Vision Technology ◽  
Background Difference ◽  
Moving Vehicle Detection

Based on the computer vision technology and the digital image processing technology, the video moving vehicle detection and tracking algorithm is made to be on research; with the base of each characters of the background difference method and the inter-frame difference method, a revised comprehensive difference method is used, and combined with the special traffic video background, a background updating method revised from Surrender Algorithm is proposed. The moving object tracking algorithm based on matching matrix is explained to focus on the problem of failure of tracking moving objects when each of them are kept out. The application of software demonstrates that the method cited in this paper proves to be right and feasible and meet the need of highway operation monitor.

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