H.264压缩视频中相似目标检测的研究

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI:10.1109/ICAMMAET.2017.8186663

K. Srinivasan, P. Balamurugan, V. Azhaguramyaa

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引用次数: 0

摘要

相似目标检测是任何目标跟踪应用程序都必须包含的一个重要功能，它将对视频监控产生重大影响。目标跟踪是一个基于与前一帧相关的时间信息的动态优化过程。目标跟踪的主要步骤是预处理、背景减除和分割、相似目标检测和目标跟踪。自相似度[23]是一种很有吸引力的图像属性，近年来以局部自相似描述符的形式出现在目标识别中。本文讨论了全局自相似描述符和局部自相似描述符在相似目标检测中的应用。

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Survey on similar object detection in H.264 compressed video

Similar object detection is an important feature that must be included in any object tracking application which will have great impact on video surveillance. Object tracking is a dynamic optimization process based on the temporal information related to the previous frames. The primary steps of object tracking are preprocessing, background subtraction and segmentation, similar object detection and object tracking. Self-similarity [23] is an attractive image property which has recently found its way into object recognition in the form of local self-similarity descriptors. In this work, global as well as local self-similarity descriptors are discussed to find the similar object detection.

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2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)

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