Video-based vehicle detection method
Валентина Дмитриевна Кустикова, Iosif B. Meyerov, Nikolai Yu. Zolotykh · Pattern Recognition and Image Analysis · 2014
This paper considers the vehicle video detection and tracking problem. We propose a method based on the partitioning a video into blocks of equal length. Vehicles are detected in the first and last frames of each block. After that, locations of the object in the intermediate frames can be recovered. Experimental results show above 70% true positive detection rate; the average false positives per frame is 0.3.