Vehicle detection and tracking applications play an important role for military and civilian applications such as in highway traffic surveillance control management and traffic planning.This paper presents a review on the various techniques of On-Road Vehicle detection systems that are based on motion model. In this paper a literature Survey of previous and recent works is presented on vision- based vehicle detection using sensors. Detecting the objects in the video and tracking their motion to identify their characteristics has been emerging as a demanding research area in the domain of Image Processing and Computer Vision. The traffic image analysis comprises of three parts: (1) Traffic Analysis (2) Motion Vehicle Detection and Segmentation Approaches and (3) Vehicle Tracking Approaches. In this survey, we have classified these methods into various groups, and these groups are providing a detailed description of various representation methods and find out their positive and negative aspects.
CITATION STYLE
Shukla, A. P., & Saini, M. (2015). “Moving Object Tracking of Vehicle Detection”: A Concise Review. International Journal of Signal Processing, Image Processing and Pattern Recognition, 8(3), 169–176. https://doi.org/10.14257/ijsip.2015.8.3.15
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