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    Chapter and Conference Paper

    Multi-swarm Particle Grid Optimization for Object Tracking

    In recent years, one of the popular swarm intelligence algorithm Particle Swarm Optimization has demonstrated to have efficient and accurate outcomes for tracking different object movement. But there are still...

    Feng Sha, Henry Wing Fung Yeung, Yuk Ying Chung, Guang Liu in Neural Information Processing (2016)

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    Chapter and Conference Paper

    Hybrid Gravitational Search Algorithm with Swarm Intelligence for Object Tracking

    This paper proposes a new approach to object tracking using the Hybrid Gravitational Search Algorithm (HGSA). HGSA introduces the Gravitational Search Algorithm (GSA) to the field of object tracking by incorp...

    Henry Wing Fung Yeung, Guang Liu, Yuk Ying Chung, Eric Liu in Neural Information Processing (2016)

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    Chapter and Conference Paper

    A New Weight Adjusted Particle Swarm Optimization for Real-Time Multiple Object Tracking

    This paper proposes a novel Weight Adjusted Particle Swarm Optimization (WAPSO) to overcome the occlusion problem and computational cost in multiple object tracking. To this end, a new update strategy of inert...

    Guang Liu, Zhenghao Chen, Henry Wing Fung Yeung in Neural Information Processing (2016)