Fast Vehicle Detection with Probabilistic Feature Grouping and its Application to Vehicle Tracking

Generating vehicle trajectories from video data is an important application of ITS (Intelligent Transportation Systems). We introduce a new tracking approach which uses model-based 3-D vehicle detection and description algorithm. Our vehicle detection and description algorithm is based on a probabilistic line feature grouping, and it is faster (by up to an order of magnitude) and more flexible than previous image-based algorithms. We present the system implementation and the vehicle detection and tracking results.

• Type: Conference
• Year: 2003
• Where: ICCV
• Authors: Zu Whan Kim, Jitendra Malik
• Keywords: 3-D Vehicle Detection, Computer Vision, Description Algorithm, ICCV 2003, Vehicle Trajectories