WebIn this paper, we address the problem of model-free on- line object tracking based on color representations. Accord- ing to the findings of recent benchmark evaluations, such trackers often tend to drift towards regions which exhibit a similar appearance compared to the object of interest. WebIn this paper, we address the problem of model-free online object tracking based on color representations. According to the findings of recent benchmark evaluations, such trackers …

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WebApr 12, 2024 · CLIPPING: Distilling CLIP-Based Models with a Student Base for Video-Language Retrieval Renjing Pei · Jianzhuang Liu · Weimian Li · Bin Shao · Songcen Xu · Peng Dai · Juwei Lu · Youliang Yan Dual Alignment Unsupervised Domain … WebCombining a discriminative object-vs-background model with an additional distractor-aware term, we show that tracker based on standard color representations (such as histograms) can achieve state-of-the-art performance on a variety of test sequences. Download Code & demo data (~5 MB, MATLAB) Results for our CVPR'15 experiments (~5 MB) Citation small breeds farm park and owl centre kington

In defense of color-based model-free tracking - Semantic …

WebNov 12, 2016 · The generative methods model the tracking task as template matching problem. The generative tracker searches for a potential target location that is most similar in appearance to the generative model. The objects are often. HOG feature with color attributes. In this section, we propose a HOG-based [46] color image feature representation. WebIn this paper, we propose a multi-task correlation particle filter (MCPF) for robust visual tracking. We first present the multi-task correlation filter (MCF) that takes the interdependencies among different object parts and features into account to learn the correlation filters jointly. WebJun 1, 2015 · In this work, we address the problem of model-free online object tracking based on color representations. According to the findings of recent benchmark … solve linear inequalities