2017
Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features
CVPR 2017poster
In this paper we propose a novel boosting-based sliding window solution for object detection which can keep up with the precision of the state-of-the art deep learning approaches, while being 10 to 100 times faster. The solution takes advantage of multisensorial perception and exploits information f…