Abstract. A new approach of tracking objects in image sequences is proposed, in which tracking is seen as a binary classification problem. For each incoming.
Duration: 20:54
Posted: Jan 14, 2019
Posted: Jan 14, 2019
Missing: Tracking. | Show results with:Tracking.
Abstract: This paper presents an object extraction system for video surveillance applications that require pixel-wise extraction accuracy.
A new approach of tracking objects in image sequences is proposed, in which tracking is seen as a binary classification problem.
An Adaboost based algorithm for object tracking in image sequences is proposed. In this algorithm, tracking is considered as a binary classification problem ...
To solve the problem of moving objects located difficultly under complex background, a tracking algorithm based on AdaBoost is proposed.
Nov 11, 2014 · In a word, HoG + Adaboost is for detection, not tracking. You can use particle filter, LK tracker or etc, for tracking. Share.
AdaBoost algorithm is applied to make concrete detection of human face. Finally an improved CamShift algorithm method is used to keep the tracking and improving.
By adopting the AdaBoost algorithm, we iteratively select one best feature which compensate the previous selected features and linearly combine the set of ...
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This paper presents a target tracking feature selection algorithm based on Adaboost. It includes Adaboost algorithm's principle and Adaboost algorithm's ...