Title :
GPGPU Implementation for Steering Hands Tracking of a Car Driver by Particle Filter with Depth Image Sensor
Author_Institution :
Kyushu Inst. of Technol., Kitakyushu, Japan
Abstract :
An elaborated parallel implementation of particle filter in GPGPU has been applied to track steering hands of a car driver with depth image sensor for extracting arm and hand regions. Use of depth image sensor can provide more clear extraction of arm and hand regions for left and right than conventional image sensor. Parallel implementation in GPGPU allows fast computation and use of significantly larger number of particles in particle filter algorithm. Experimental results show computational performance of the proposed method.
Keywords :
feature extraction; graphics processing units; image sensors; object tracking; particle filtering (numerical methods); road safety; traffic engineering computing; GPGPU implementation; arm region extraction; car driver; depth image sensor; general purpose graphics processing unit; hand region extraction; particle filter; steering hands tracking; Robots; Signal processing; GPGPU; car driving safety; parallel computation; particle filter;
Conference_Titel :
Robot, Vision and Signal Processing (RVSP), 2013 Second International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-3183-5
DOI :
10.1109/RVSP.2013.45
