TY - GEN
T1 - Towards a hardware-based system for real-time vehicle tracking
AU - Zheng, Yi
AU - Tang, Hua
PY - 2008/12/24
Y1 - 2008/12/24
N2 - Real-time vehicle tracking in ITS (Intelligent Transportation Systems) is highly desirable. In this paper, we propose a hardware-based tracking system to achieve real-time vehicle tracking. The proposed tracking system employs two innovative designs. One is that a tracking algorithm based on motion estimation is adopted. Motion estimation is achieved by full-search block matching algorithm. The other innovation is that motion estimation is implemented in hardware, which greatly reduces computational time compared to the traditional software approach. Once the motion vectors are obtained, the remaining tracking process is implemented in software. Experiments have validated the tracking algorithm and simulations have shown that the proposed tracking system can achieve realtime tracking up to 40 frames per second.
AB - Real-time vehicle tracking in ITS (Intelligent Transportation Systems) is highly desirable. In this paper, we propose a hardware-based tracking system to achieve real-time vehicle tracking. The proposed tracking system employs two innovative designs. One is that a tracking algorithm based on motion estimation is adopted. Motion estimation is achieved by full-search block matching algorithm. The other innovation is that motion estimation is implemented in hardware, which greatly reduces computational time compared to the traditional software approach. Once the motion vectors are obtained, the remaining tracking process is implemented in software. Experiments have validated the tracking algorithm and simulations have shown that the proposed tracking system can achieve realtime tracking up to 40 frames per second.
UR - http://www.scopus.com/inward/record.url?scp=57749194154&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=57749194154&partnerID=8YFLogxK
U2 - 10.1109/IVS.2008.4621134
DO - 10.1109/IVS.2008.4621134
M3 - Conference contribution
AN - SCOPUS:57749194154
SN - 9781424425693
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 385
EP - 390
BT - 2008 IEEE Intelligent Vehicles Symposium, IV
T2 - 2008 IEEE Intelligent Vehicles Symposium, IV
Y2 - 4 June 2008 through 6 June 2008
ER -