Title of research:
GPGPU Accelerated Video Analytic Algorithm Parallelization Enabling Massive Image Data Processing
The objectives of the project are as follows:
1. To propose novel parallelism technique(s) for multi-camera video analytics for surveillance, in particular ROI based motion detection, intrusion detection, line intrusion and slip and fall detection.
2. To research, redesign and implement selected parallelized multi-camera video analytics in GPU for high speed, accuracy and large number of data-set processing enabling scalability based on a heterogeneous hardware platform.
3. To propose novel performance and resource optimization technique(s) for video analytics in GPU for multiple image analysis.
The ideal candidate should possess:
1. A bachelor’s degree in Electronics/Computer/Multimedia/Telecommunications engineering or Computer Science/IT with minimum second upper class (preferably CGPA above 3.5).
2. Background knowledge or prior experience in digital image and video processing and GPU programming.
3. Excellent command of English.
4. Independent and self-motivated.
The monthly student stipend is RM2500. The successful candidate is required to enroll in Multimedia University’s Master of Engineering Science (by research) program, who will be supervised by Assoc. Prof. Dr. Chang Yoong Choon. The duration of the project is 24 months.
Interested applicants are requested to submit their resumes through email to the following:
Assoc. Prof. Dr. Chang Yoong Choon (ycchang@mmu.edu.my), Dr. Ettikan Kandasamy Karuppiah (ettikan@mimos.my) and Ms. Shahirina Mohd Tahir (shahirina.mtahir@mimos.my)
This post has been edited by whiteagle: Jul 16 2014, 01:32 PM
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Jul 3 2014, 03:31 PM, updated 12y ago
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