Traffic Analysis Using Visual Object Detection and Tracking

Smart transportation based on big data traffic analysis is an important component of smart city. With millions of ubiquitous street cameras and intelligent analyzing algorithms, public transit systems of the next generation can be safer and smarter. We participated the IEEE Smart World 2017 NVIDIA AI City Challenge which consists of two tracks of contests that serve this spirit. In Track 1 contest on visual detection, we built a competitive object detector for vehicle localization and classification. In Track 2 contest, we developed an traffic analysis framework based on vehicle tracking that improves the surveillance and visualization of traffic flow. Both developed methods demonstrated practical, effective, and competitive performance when compared with state-of-art methods evaluated on real-world traffic videos in the challenge contest.