Local Similarity Number and its Application to Object Tracking

International Journal of Advanced Robotic Systems

关键词: Mean-shift Tracking;    Saliency;    Local Binary Patterns;   

DOI  :  10.5772/55337

学科分类：自动化工程

来源: InTech

【 摘 要 】

In this paper, we present a tracking technique utilizing a simple saliency visual descriptor. Initially, we define a visual descriptor named local similarity pattern that mimics the famous texture operator local binary patterns. The key difference is that it assigns each pixel a code based on the similarity to the neighbouring pixels. Later, we simplify this descriptor to a local saliency operator which counts the number of similar pixels in a neighbourhood. We name this operator local similarity number (LSN).We apply the local similarity number operator to measure the amount of saliency in a target patch and model the target. The proposed tracking algorithm uses a joint saliency-colour histogram to represent the target in a mean-shift tracking framework. We will show that the proposed saliency-colour target representation outperforms texture-colour where texture modelled by local binary patterns and colour target representation techniques are used.

【 授权许可】

CC BY