Title :
GPU based non-overlapping multi-camera vehicle tracking
Author :
Gamage, Tharindu D. ; Samarawickrama, Jayathu G. ; Pasqual, A.A.
Author_Institution :
Dept. of Electron. & Telecommun. Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka
Abstract :
Vehicle tracking and surveillance is an area which is having a considerable attention in the context of security and safety. The detection and tacking of moving vehicles through multiple cameras is considered as a method of vehicle surveillance. This work addresses a problem of detecting and matching vehicles through multiple cameras. The power of GPUs are used to increase the number of video streams which can be processed using a single computer. In the detection process the Gabor filter is used as a directional filter and the SURF is used by the matcher to uniquely represent the vehicle.
Keywords :
Gabor filters; feature extraction; graphics processing units; image matching; image representation; object detection; object tracking; traffic engineering computing; GPU based nonoverlapping multicamera vehicle tracking; Gabor filter; SURF feature; directional filter; graphics processing unit; moving vehicle detection; moving vehicle tracking; safety context; security context; speeded-up robust feature; vehicle matching; vehicle representation; vehicle surveillance; Cameras; Databases; Feature extraction; Graphics processing units; Instruction sets; Streaming media; Vehicles; GPU; Multi-Camera; SURF; Tracking;
Conference_Titel :
Information and Automation for Sustainability (ICIAfS), 2014 7th International Conference on
DOI :
10.1109/ICIAFS.2014.7069550
