Vehicle detection on a video traffic scene: Review and new perspectives

Abstract

Vehicle detection applications play an important role in the reduction of the number of road accidents. In the same vein, this paper tends to summarize the recent advances in vehicle detection approaches. Both the approaches based on motion and those based on appearance are dealt with. Also, the challenges and limitations of using handcraft features are discussed. Moreover, we compare different approaches cited as new perspectives in object detection. The experiments performed using two videos illustrate the robustness of the approach based on deep learning with specialization of the generic detector to a specific scene.