Results 1 to 10 of about 141,545 (147)
Latent label mining for group activity recognition in basketball videos
IET Image Processing, 2021 Motion information has been widely exploited for group activity recognition in sports video. However, in order to model and extract the various motion information between the adjacent frames, existing algorithms only use the coarse video‐level labels as ...
Lifang Wu +4 more
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Siamese tracking combing frequency channel attention with adaptive template
IET Communications, 2021 Siamese network based the tracker is a hot topic in the field of visual object tracking. However, Siamese trackers still have a robustness gap compared with state‐of‐the‐art algorithms. Therefore, focusing on the issue, this letter adds Frequency Channel
Haibo Pang +4 more
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Unified multi‐stage fusion network for affective video content analysis
Electronics Letters, 2022 Affective video content analysis is an active topic in the field of affective computing. In general, affective video content can be depicted by feature vectors of multiple modalities, so it is important to effectively fuse information.
Yun Yi, Hanli Wang, Pengjie Tang
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IET Image Processing, 2021 Pedestrian attributes recognition is an important issue in computer vision and has a special role in the field of video surveillance. The previous methods presented to solve this issue are mainly based on multi‐label end‐to‐end deep neural networks ...
Mahnaz Moghaddam +2 more
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A motion parameters estimating method based on deep learning for visual blurred object tracking
IET Image Processing, 2021 Tracking the specific object in the blurred scenes is one of the challenging problems in computer vision and image processing. The accuracy and performance of trackers within the blur frames usually demonstrate a severe decrease.
Iman Iraei, Karim Faez
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Learning adaptive spatial–temporal regularized correlation filters for visual tracking
IET Image Processing, 2021 Recently, there have been many visual tracking methods based on correlation filters. These methods mainly enhance the tracking performances by considering the information of background, space, or time in the appearance model.
Jianwei Zhao, Yangxiao Li, Zhenghua Zhou
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Surveillance video motion segmentation based on the progressive spatio‐temporal tunnel flow model
Electronics Letters, 2021 Motion segmentation is the first and important step of surveillance video summarisation, and traditional motion segmentation methods usually process all video data, which seriously affects the real‐time performance of video synopsis.
Yunzuo Zhang, Wenxuan Li, Panliang Yang
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Human behaviour recognition with mid‐level representations for crowd understanding and analysis
IET Image Processing, 2021 Crowd understanding and analysis have received increasing attention for couples of decades, and development of human behaviour recognition strongly supports the application of crowd understanding and analysis. Human behaviour recognition usually seeks to
Bangyong Sun +4 more
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IET Image Processing, 2021 Remote sensing target tracking in satellite videos plays a key role in various fields. However, due to the complex backgrounds of satellite video sequences and many rotation changes of highly dynamic targets, typical target tracking methods for natural ...
Fukun Bi +4 more
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A deep learning method for video‐based action recognition
IET Image Processing, 2021 In this paper, a deep learning method for video‐based action recognition is proposed. On the one hand, boundary compensation on the basis of a deep neural network is performed to achieve action proposal.
Guanwen Zhang +4 more
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