Open framework for combined pedestrian detection

Pedestrian detection is a topic in computer vision of great interest for many applications. Due to that, a large amount of pedestrian detection techniques are presented in current literature, each one improving previous techniques. The improvement in accuracy in recent pedestrian detection, is commonly in combination with a higher computational requirement. Although, recently a technique was proposed to combine multiple detection algorithms to improve accuracy instead. Since the evaluation speed of this combination is dependent on the detection algorithm it uses, we provide an open framework that includes multiple pedestrian detection algorithms, and the technique to combine them. We show that our open implementation is superior on speed, accuracy and peak memory-use when compared to other publicly available implementations. ispartof: pages:551-558 ispartof: Proceedings of the 10th International Conference on Computer Vision Theory and Applications - (Volume 2) (VISIGRAPP 2015) vol:2 pages:551-558 ispartof: VISAPP location:Berlin, Germany date:11 Mar - 13 Mar 2015 status: published