دانلود مقاله ISI انگلیسی شماره 52359
ترجمه فارسی عنوان مقاله

روش هوش ازدحامی ذرات تصفیه شده برای ردیابی حرکت ناگهانی

عنوان انگلیسی
Refined particle swarm intelligence method for abrupt motion tracking
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
52359 2014 21 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Information Sciences, Volume 283, 1 November 2014, Pages 267–287

ترجمه کلمات کلیدی
ردیابی حرکت ناگهانی؛ ردیابی بصری؛ بهینه سازی ازدحام ذرات ؛ بینایی کامپیوتر
کلمات کلیدی انگلیسی
Abrupt motion tracking; Visual tracking; Particle swarm optimisation; Computer vision
پیش نمایش مقاله
پیش نمایش مقاله  روش هوش ازدحامی ذرات تصفیه شده برای ردیابی حرکت ناگهانی

چکیده انگلیسی

Conventional tracking solutions are not able to deal with abrupt motion as these are based on a smooth motion assumption or an accurate motion model. Abrupt motion is not subject to motion continuity and smoothness. We address this problem by casting tracking as an optimisation problem and propose a novel abrupt motion tracker based on swarm intelligence – the SwATrack. Unlike existing swarm-based filtering methods, we first of all introduce an optimised swarm-based sampling strategy for a tradeoff between the exploration and exploitation of the state space in search for the optimal proposal distribution. Secondly, we propose Dynamic Acceleration Parameters (DAP) that allow on the fly tuning of the best mean and variance of the distribution for sampling. Combining the two strategies within the Particle Swarm Optimisation framework represents a novel method to address abrupt motion. To the best of our knowledge, this has never been done before. Thirdly, we introduce a new dataset – the Malaya Abrupt Motion (MAMo) dataset that consists of 12 videos with groundtruth. Finally, experimental on both quantitative and qualitative results have shown the effectiveness of the proposed method in terms of dataset unbiased, object size invariant and fast recovery in tracking the abrupt motions.