Doctoral Dissertation of Electronics Engineering

Objective: Objective of this dissertation is to find a novel method to reduce computation cost as well as memory requirement but still retain accuracy in video-based person ReID approach. In video-based person ReID, computation cost and memory requirement are the two main issues. Working with a large number of images is the burden of any surveillance system. This results in a high computation cost as well as a large memory capacity.

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The thesis aims to propose some control techniques for mobile target Robot-camera. After that, I studied some of the torque control techniques of joints for the Robot-camera system sticking to the mobile target and the Robot-camera system, paying attention to the motivating motor sticking to the mobile target. Finally, the author also proposed some control algorithms for Robotic-camera arm system with irregular model, external noise and preventing system degradation, using nonlinear sliding controller (TSMC) in combination with Artificial neural networks to estimate uncertain numbers.

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