A real-time visual tracking and distance measuring algorithm based on SSD
Tongpo Zhang, Zejian Kong, Tiantian Guo, Miguel López‐Benítez, Eng Gee Lim, Fei Ma, Limin Yu · 2022 4th International Conference on Advances in Computer Technology, Information Science and Communications (CTISC) · 2022
Real-time visual tracking and distance measuring algorithms are of critical importance in industry areas. In this paper, we propose a novel method to meet the needs. This algorithm can measure the distance of the tracking object with high accuracy in real-time. First, we compare the ability of the traditional visual tracking algorithms with deep learning visual tracking methods. Furthermore, three deep learning visual tracking methods are compared and evaluated to find the most suitable one that can meet the real-time requirement of tracking targets. Then we create a real-time visual tracking and distance measuring algorithm based on SSD. We raise two methods for distance measuring measurement algorithms and both of the methods are tested. The experiments are implemented to validate the performance of the designed approach. From the experimental results, we confirmed the designed real-time visual tracking and distance measuring algorithm based on SSD performed successfully.