Adaptive pyramid mean shift for global real-time visual tracking

Li, Shuxiao; Chang, Hongxing; Zhu, Chengfei

doi:10.1016/j.imavis.2009.06.012

Cited by 52 publications

(19 citation statements)

References 28 publications

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“…A real-time tracking algorithm should be robust in different scenarios of moving camera. In [118], a novel approach for global target tracking based on mean shift technique was proposed. The proposed method represents the model and the candidate in terms of background weighted histogram and color weighted histogram, respectively, which can obtain precise object size adaptively with low computational complexity.…”

Section: Real Time Aspectsmentioning

confidence: 99%

New trends on moving object detection in video images captured by a moving camera: A survey

Yazdi

Bouwmans

2018

Computer Science Review

207

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This paper presents a survey on the latest methods of moving object detection in video sequences captured by a moving camera. Although many researches and excellent works have reviewed the methods of object detection and background subtraction for a fixed camera, there is no survey which presents a complete review of the existing different methods in the case of moving camera. Most methods in this field can be classified into four categories: modelling based background subtraction, trajectory classification, low rank and sparse matrix decomposition, and object tracking. We discuss in details each category and present the main methods which proposed improvements in the general concept of the techniques. We also present challenges and main concerns in this field as well as performance metrics and some benchmark databases available to evaluate the performance of different moving object detection algorithms.

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Section: Real Time Aspectsmentioning

confidence: 99%

New trends on moving object detection in video images captured by a moving camera: A survey

Yazdi

Bouwmans

2018

Computer Science Review

207

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“…However, the traditional MS may be trapped in the local optimal solution due to the bandwidth limitation. To solve this problem, Shen and Li presented the multi-bandwidth MS [18] and multiscale MS [19], respectively. Analogously, Neal proposed annealed importance sampling [20], which gradually sharpens the weight function surface, gently introduces the influence of the global peak and converges to the global optimal solution finally.…”

Section: Related Workmentioning

confidence: 99%

Iterative particle filter for visual tracking

Fan

Zhang

2015

Signal Processing: Image Communication

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“…The work in [28] addresses this drawback by employing a pyramidal decomposition to capture distant targets between consecutive frames. An extension of the main algorithm is proposed in [29], which may handle cases where the color of the target is similar with the color of the background and the displacements are large.…”

Section: Mean Shift Trackingmentioning

confidence: 99%