Titlebook: Visual Object Tracking from Correlation Filter to Deep Learning; Weiwei Xing,Weibin Liu,Bowen Song Book 2021 The Editor(s) (if applicable)

過(guò)度

Correlation Filter Based Visual Object Tracking,kground classification problem, which belongs to the discriminative tracking methods. The Correlation filter is used to measure the relevance between the template of the object and search region, and compute the response map. The tracking results can be estimated by finding the peak location in resp

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vocation

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寬度

Introduction,on analysis, event detection, and activity understanding. In this chapter, we give a detailed introduction to visual tracking which includes basic components of tracking algorithms, difficulties in tracking, datasets used to evaluate trackers, and evaluation metrics.

寬容

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filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.978-981-16-6244-7978-981-16-6242-3

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through the cooperation of its members, independently of the actions of the players outside the coalition. When a coalition forms, what matters is the outcome it can achieve, without specifying the organizational details. Quoting Shapley, cooperative game theory “is concerned with things like cooper

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Weiwei Xing,Weibin Liu,Jun Wang,Shunli Zhang,Lihui Wang,Yuxiang Yang,Bowen Songto easily make choices motivated by self-transcendence motivated values while still scoring high. The game incentivized competition to the detriment of self-transcendence motivated decision making. These results illustrate the importance of testing assumptions of a game and ensuring that incentives