A novel real time video tracking framework using adaptive discrete swarm optimization

作者：

Highlights：

• A new adaptive discrete swarm optimization (ADSO) is proposed for video tracking.

• ADSO shows high accuracy rate and fast tracking and relocating speed.

• Error rate is reduced to 70.21% of Particle Swarm Optimization (PSO).

• Processing time per frame is reduced to 58.6% of PSO.

摘要

•A new adaptive discrete swarm optimization (ADSO) is proposed for video tracking.•ADSO shows high accuracy rate and fast tracking and relocating speed.•Error rate is reduced to 70.21% of Particle Swarm Optimization (PSO).•Processing time per frame is reduced to 58.6% of PSO.

论文关键词：Object tracking,Particle swarm optimization,Adaptive discrete swarm optimization,Genetic algorithm

论文评审过程：Received 17 March 2016, Revised 23 May 2016, Accepted 3 August 2016, Available online 4 August 2016, Version of Record 8 August 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.08.027