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An Approach to On-Road Vehicle Detection, Description and Tracking

We present an approach to detecting independently moving objects (IMOs) in stereo video sequences acquired by onboard cameras on a moving vehicle. The proposed approach is based on the processing of two independent information streams: an independent motion detection stream and an object recognition stream. Fusion of these streams outputs allows our system to segment IMOs, track them, and even estimate some of their properties.