High-speed visual target tracking with mixed rotation invariant description and skipping searching  

作　　者：Yongxing YANG Jie YANG Zhongxing ZHANG Liyuan LIU Nanjian WU 

机构地区：[1]State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors,Chinese Academy of Sciences [2]Department of Electrical and Computer Engineering, University of Calgary

出　　处：《Science China(Information Sciences)》2017年第6期221-232,共12页中国科学（信息科学）（英文版）

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 61234003, 61434004, 61504141);CAS Interdisciplinary Project (Grant No. KJZD-EW-L11-04)

摘　　要：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 with2 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 × 480 resolution image.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 with2 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 × 480 resolution image.

关 键 词：target tracking parallel vision processor MRID skipping searching image processing 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]