TY - GEN
T1 - A Parallel Optimization Method for KCF based on Inter-core Communication of Multi-core DSP
AU - Wu, Wancang
AU - Jia, Qingzhong
AU - Luo, Fengkun
AU - Yang, Tao
AU - Huang, Hong
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/18
Y1 - 2021/6/18
N2 - Target tracking is an important branch in the field of computer vision. In recent years, as target tracking application have increasingly higher requirements for realtime performance, higher requirements have been put forward for the optimization and application of embedded platforms. Therefore, in a multi-core DSP platform, parallel computing efficiency becomes the key to improving realtime performance. This paper proposes the concept of execution parallelism based on inter-core communication, and optimizes KCF for the parallelism parameters. This paper aims at the multi-core parallel development of KCF algorithm based on inter-core interrupt and shared memory on TMS320C6678 platform. By connecting the FPGA-based video board for physical verification, the parallel scheme based on inter-core communication can reach a tracking speed of 60 fps, which has certain engineering practical significance.
AB - Target tracking is an important branch in the field of computer vision. In recent years, as target tracking application have increasingly higher requirements for realtime performance, higher requirements have been put forward for the optimization and application of embedded platforms. Therefore, in a multi-core DSP platform, parallel computing efficiency becomes the key to improving realtime performance. This paper proposes the concept of execution parallelism based on inter-core communication, and optimizes KCF for the parallelism parameters. This paper aims at the multi-core parallel development of KCF algorithm based on inter-core interrupt and shared memory on TMS320C6678 platform. By connecting the FPGA-based video board for physical verification, the parallel scheme based on inter-core communication can reach a tracking speed of 60 fps, which has certain engineering practical significance.
KW - KCF
KW - multi-core DSP
KW - parallel optimization
KW - pipeline parallel architecture
UR - http://www.scopus.com/inward/record.url?scp=85116081564&partnerID=8YFLogxK
U2 - 10.1109/IMCEC51613.2021.9482038
DO - 10.1109/IMCEC51613.2021.9482038
M3 - Conference contribution
AN - SCOPUS:85116081564
T3 - IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference
SP - 1736
EP - 1740
BT - IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021
Y2 - 18 June 2021 through 20 June 2021
ER -