Optimization of Multi-Camera Detection and Tracking Using Logic Minimization

Intelligent video surveillance is to automatically detect, track and recognize moving targets (e.g. pedestrians and vehicles) by using computer algorithms. To deploy multiple cameras is an efficient way to cope with the occlusion between targets in the individual camera views. However, the integration of the data from multiple cameras may lead to phantom detections and alternative interpretation of a surveillance scenario. This project aims to globally optimize multi-camera target detection and tracking by using a non-iterative logic minimization method. This is in contrast to some start-of-the-art algorithms which are usually iterative and therefore very time consuming. Both the speed and the robustness of the algorithm can be improved.

Requirements:

The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in electrical and electronic engineering/computer science/mathematics. Evidence of good spoken and written English is essential. The candidate should have an IELTS score of 6.5 or above, if the first language is not English. This position is open to all qualified candidates irrespective of nationality.

Degree:

The student will be awarded a PhD degree from the University of Liverpool (UK) upon successful completion of the program.

For more information about doctoral scholarship and PhD programme at Xi’an Jiaotong-Liverpool University (XJTLU): Please visit

http://www.xjtlu.edu.cn/en/study-with-us/admissions/entry-requirements
http://www.xjtlu.edu.cn/en/admissions/phd/feesscholarships.html

How to Apply:

Interested applicants are advised to email [Email Address Removed] (XJTLU principal supervisor’s email address) the following documents for initial review and assessment (please put the project title in the subject line).
 CV
 Two reference letters with company/university letterhead
 Personal statement outlining your interest in the position
 Proof of English language proficiency (an IELTS score of 6.5 or above)
 Verified school transcripts in both Chinese and English (for international students, only the English version is required)
 Verified certificates of education qualifications in both Chinese and English (for international students, only the English version is required)

Informal enquiries may be addressed to Dr. Ming Xu ([Email Address Removed]), whose personal profile is linked below,

http://www.xjtlu.edu.cn/en/departments/academic-departments/electrical-andelectronic-engineering/staff/ming-xu