Vehicle Target Area and Tyre Detection Image Processing Technique
Anita Kumari Singh, Rajesh Kumar, Raghuvendra Pratap Tripathi, Uttkarsh Arya · 2016
Target tracking is an important requirement in the battle field. The proposed target classification algorithm is a video based surveillance system. This kind of system is very useful in tracking and classification of targets. The target area and tyre detection are the key steps of this algorithm used for detection of target. A target classification algorithm based on area and tire axle spacing was formulated and deployed in an embedded system for field testing. The experimental comparative results are provided in the form of tables. To overcome the disadvantages of traditional methods here target area and tyres are determined by using image processing in MATLAB. The algorithm has to distinguish between major classes i.e. two wheelers, four wheelers and heavy vehicles (e.g. Tanks). The target acquisition videos recorded by day camera and during night time by thermal camera can be used. The percentage of error of the proposed method are shown and discussed with analysis.