用于视觉跟踪的非视黄变性粒子滤波

Q4 Computer Science
A. A. Gunawan, Ito Wasito
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引用次数: 7

摘要

视觉跟踪是利用视觉传感器测量来确定目标物体的位置和路径的问题。视觉跟踪的一大挑战是完全遮挡。当存在完全遮挡时,单独的图像数据可能是不可靠的,并且不足以检测目标物体。所开发的跟踪算法基于自举粒子滤波并利用目标的颜色特征。在此基础上,借鉴人类视觉皮层处理遮挡的方法,构建非视网膜异位层,对算法进行了改进。当跟踪可靠性的质量水平低于阈值时,我们通过使用关于运动动力学的过去跟踪记忆而不是当前测量来解释这一概念。通过实验,我们发现(i)使用非视黄变性概念可以提高目标跟踪算法在处理遮挡时的性能;(ii)动态模型对于目标跟踪至关重要,特别是当目标物体经历遮挡和机动运动时;(iii)当面临光照挑战时,跟踪质量阈值的准确性依赖于跟踪器的性能。给出了初步的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonretinotopic Particle Filter for Visual Tracking
Visual tracking is the problem of using visual sensor measurements to determine location and path of target object. One of big challenges for visual tracking is full occlusion. When full occlusions are present, image data alone can be unreliable, and is not sufficient to detect the target object. The developed tracking algorithm is based on bootstrap particle filter and using color feature target. Furthermore the algorithm is modified using nonretinotopic concept, inspired from the way of human visual cortex handles occlusion by constructing nonretinotopic layers. We interpreted the concept by using past tracking memory about motion dynamics rather than current measurement when quality level of tracking reliability below a threshold. Using experiments, we found (i) the performance of the object tracking algorithm in handling occlusion can be improved using nonretinotopic concept, (ii) dynamic model is crucial for object tracking, especially when the target object experienced occlusion and maneuver motions, (iii) the dependency of the tracker performance on the accuracy of tracking quality threshold when facing illumination challenge. Preliminary experimental results are provided.
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来源期刊
Journal of Theoretical and Applied Information Technology
Journal of Theoretical and Applied Information Technology Computer Science-Computer Science (all)
CiteScore
1.10
自引率
0.00%
发文量
38
期刊介绍: Journal of Theoretical and Applied Information Technology published since 2005 (E-ISSN 1817-3195 / ISSN 1992-8645) is an open access International refereed research publishing journal with a focused aim on promoting and publishing original high quality research dealing with theoretical and scientific aspects in all disciplines of Information Technology. JATIT is an international scientific research journal focusing on issues in information technology research. A large number of manuscript inflows, reflects its popularity and the trust of world''s research community. JATIT is indexed with major indexing and abstracting organizations and is published in both electronic and print format.
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