TY - GEN
T1 - A new approach of GPU accelerated visual tracking
AU - Zang, Chuantao
AU - Hashimoto, Koichi
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - In this paper a fast and robust visual tracking approach based on GPU acceleration is proposed. It is an effective combination of two GPU-accelerated algorithms. One is a GPU accelerated visual tracking algorithm based on the Efficient Second-order Minimization (GPU-ESM) algorithm. The other is a GPU based Scale Invariant Feature Transform (SIFT) algorithm, which is used in those extreme cases for GPU-ESM tracking algorithm, i.e. large image differences, occlusions etc. System performances have been greatly improved by our combination approach. We have extended the tracking region from a planar region to a 3D region. Translation details of both GPU algorithms and their combination strategy are described. System performances are evaluated with experimental data. Optimization techniques are presented as a reference for GPU application developers.
AB - In this paper a fast and robust visual tracking approach based on GPU acceleration is proposed. It is an effective combination of two GPU-accelerated algorithms. One is a GPU accelerated visual tracking algorithm based on the Efficient Second-order Minimization (GPU-ESM) algorithm. The other is a GPU based Scale Invariant Feature Transform (SIFT) algorithm, which is used in those extreme cases for GPU-ESM tracking algorithm, i.e. large image differences, occlusions etc. System performances have been greatly improved by our combination approach. We have extended the tracking region from a planar region to a 3D region. Translation details of both GPU algorithms and their combination strategy are described. System performances are evaluated with experimental data. Optimization techniques are presented as a reference for GPU application developers.
KW - ESM
KW - GPU
KW - SIFT
KW - Visual tracking
UR - http://www.scopus.com/inward/record.url?scp=78650915118&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650915118&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17691-3_33
DO - 10.1007/978-3-642-17691-3_33
M3 - Conference contribution
AN - SCOPUS:78650915118
SN - 3642176909
SN - 9783642176906
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 354
EP - 365
BT - Advanced Concepts for Intelligent Vision Systems - 12th International Conference, ACIVS 2010, Proceedings
T2 - 12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010
Y2 - 13 December 2010 through 16 December 2010
ER -