منابع مشابه
Flow-free Video Object Segmentation
Segmenting foreground object from a video is a challenging task because of the large deformations of the objects, occlusions, and background clutter. In this paper, we propose a frame-by-frame but computationally efficient approach for video object segmentation by clustering visually similar generic object segments throughout the video. Our algorithm segments various object instances appearing ...
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Identifying moving objects from a video sequence is a fundamental and critical task in many computer vision applications. We develop an efficient adaptive object segmentation algorithm for color video surveillance sequences; background is modeled using Multiple Correlation Coefficient ( ) using pixel-level based approach. Segmented foreground generally includes self shadows as foreground object...
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Accurately modeling object colors, and features in general, plays a critical role in video segmentation and analysis. Commonly used color models, such as global Gaussian mixtures, localized Gaussian mixtures, and pixel-wise adaptive ones, often fail to accurately represent the object appearance in complicated scenes, thereby leading to segmentation errors. We introduce a new color model, Dynami...
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Many future video standards such as MPEG-4 are shifting focus from compression to content; Video Object Segmentation is the key technology required by these standards. Unlike still images, motion in video can be used to discriminate between objects. We present an automatic video single object segmentation system whose core is the adaptive version of the Circular Viterbi algorithm. The Circular ...
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ژورنال
عنوان ژورنال: Image and Vision Computing
سال: 2020
ISSN: 0262-8856
DOI: 10.1016/j.imavis.2019.103864