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Embedded Vision System for Real-Time Object Tracking using an Asynchronous Transient Vision Sensor

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7 Author(s)
M. Litzenberger ; ARC Seibersdorf research GmbH, Tech Gate Vienna, Donau-City-Str. 1, A-1220, Austria ; C. Posch ; D. Bauer ; A. N. Belbachir
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This paper presents an embedded vision system for object tracking applications based on a 128times128 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 120 dB and a latency of under 100 mus. 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

Published in:

2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal Processing Education Workshop

Date of Conference:

24-27 Sept. 2006