An automatic moving vehicle detection system based on hypothesis generation and verification in a traffic surveillance system. (19th June 2023)

• Record Type: Journal Article
• Authors: Smitha, J.A.; Rajkumar, N.
• Is Part Of: International journal of vehicle information and communication systems. Volume 8:Number 1/2(2023)
• Page Start: 170
• Page End: 188
• Publication Date: 2023-06-19
• Subjects: traffic surveillance system -- moving vehicle detection -- tracking -- hypothesis generation -- hypothesis verification -- feedforward neural network -- grasshopper optimisation algorithm; Automobiles -- Electronic equipment -- Periodicals; 629.27
• Languages: English
• ISSNs: 1471-0242

Abstract

An intelligent transportation system has a major topic called traffic surveillance. In a complex urban Traffic Surveillance System (TSS), booming of vehicle detection and tracking is a dilemma. To overcome the problem, a two stage approach for moving vehicle detection system is proposed in this paper. The proposed system mainly consists of two stages namely, Hypothesis Generation (HG) and Hypothesis Verification (HV). At the first step, hypotheses are generated by shadows beneath the vehicles is darker than the road region concept. In the second step a generated hypothesis is verified as correct or not using Optimal Artificial Neural Network (OANN). The weights corresponding ANN is optimally selected using Grasshopper Optimisation Algorithm (GOA). Through experimental results, it is shown that the proposed moving vehicle detection system has better accuracy compared to other methods.