基于SIFT的实时运动目标跟踪算法

2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2017-12-01 DOI:10.1109/SPAC.2017.8304342

H. Qiang, C. Qian, Baojiang Zhong

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引用次数: 0

摘要

运动目标跟踪是模式识别、图像处理和计算机视觉等领域的一个重要研究方向。本文提出了一种基于SIFT的运动目标跟踪算法。针对传统SIFT算法运行时间长、计算量大的缺点，设计了新的关键点描述符，降低了关键点的维数，提高了关键点的提取率。实验证明，该算法满足实时性要求，能很好地跟踪被遮挡的运动目标。

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A real-time moving target tracking algorithm based on SIFT

Moving target tracking is an important research area in pattern recognition, image processing and computer vision. We proposed a novel moving target tracking algorithm based on SIFT in this paper. For the high running time and large computation amount of the traditional SIFT algorithm, we design a new keypoint descriptor, reduce the keypoint dimension, improved the keypoint extraction rate. It is proved by experiments that the new algorithm meet the real-time requirement and can tracking the occludent moving target well.

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2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

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