EMBEDDED VISION SYSTEM FOR REAL-TIME OBJECT TRACKING USING AN ASYNCHRONOUS TRANSIENT VISION SENSOR

摘要

This paper presents an embedded vision system for object tracking applications based on a 128×128 pixel CMOS temporal contrast vision sensor. This imager asynchronously responds to relative illumination intensity changes in the visual scene, exhibiting a usable dynamic range of 120dB and a latency of under 100μs. The information is encoded in the form of Address-Event Representation (AER) data. An algorithm for object tracking with 1 millisecond timestamp resolution of the AER data stream is presented. As a real world application example, vehicle tracking for a traffic monitoring is demonstrated in real time. The potential of the proposed algorithm for people tracking is also shown. Due to the efficient data pre-processing in the imager chip focal plane, the embedded vision system can be implemented using a low-cost, low-power digital signal processor.