Journal
SCIENCE CHINA-INFORMATION SCIENCES
Volume 60, Issue 6, Pages -Publisher
SCIENCE PRESS
DOI: 10.1007/s11432-016-0037-0
Keywords
target tracking; parallel vision processor; MRID; skipping searching; image processing
Funding
- National Natural Science Foundation of China [61234003, 61434004, 61504141]
- CAS Interdisciplinary Project [KJZD-EW-L11-04]
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This paper proposes a novel high-speed visual target tracking system based on mixed rotation invariant description (MRID) and skipping searching method. MRID is a novel rotation invariant description of texture and edge information by annular histograms and dominant direction. It overcomes rotation variant and large computation issues in conventional LBP-HOG feature description. The skipping searching method used in tracking can remarkably decrease the computation time by avoiding repeated searching operations. The proposed tracking system contains an image sensor, a hierarchical vision processor and an actuator with 2 dimensions of freedom (DOF). The vision processor integrates processors with pixel-and row-level parallelism to speed up the tracking algorithm. Experiment results show that the proposed system can achieve over 1000-fps processing speed of the tracking algorithm under 750 x 480 resolution image.
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