Traffic camera video feeds are helpful in implementing intelligent vehicle detection and classification (IVDC). It has various applications in the transportation engineering domain, such as queue length estimation, vehicle tracking, traffic parameters estimation. However, in the Indian traffic, wide variety of vehicles (motorbikes, auto-rickshaws, cycle-rickshaws, minitrucks, trucks, etc.) travel on the road. They do not follow lane disciplined and occluded each other, making vehicle detection very challenging. This work presented an anchor-free object detection model (YOLOX) on the Indian traffic dataset (ITD) and compared it with the existing object detection models. It achieves 88% mean average precision (mAP) and 37 frames per second (FPS) on ITD.
Vehicle Detection in Indian Traffic Using an Anchor-Free Object Detector
Lect. Notes in Networks, Syst.
International Conference on Advances in Data-driven Computing and Intelligent Systems ; 2022 ; Goa, India September 23, 2022 - September 25, 2022
2023-08-04
12 pages
Article/Chapter (Book)
Electronic Resource
English
ElDet: An Anchor-Free General Ellipse Object Detector
British Library Conference Proceedings | 2023
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