Results 31 to 40 of about 252,788 (325)
Hierarchical distillation for image compressive sensing reconstruction
Electronics Letters, 2021 Compressive sensing (CS) is an effective algorithm for reconstructing images from a small sample of data. CS models combining traditional optimisation‐based CS methods and deep learning have been used to improve image reconstruction performance. However,
Bokyeung Lee +3 more
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A Reliable and Real-Time Tracking Method with Color Distribution
Sensors, 2017 Occlusion is a challenging problem in visual tracking. Therefore, in recent years, many trackers have been explored to solve this problem, but most of them cannot track the target in real time because of the heavy computational cost.
Zishu Zhao +5 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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Efficient underwater image and video enhancement based on Retinex
, 2022 S.1011-1018The Retinex models the human visual system to perceive natural colors, which could improve the contrast and sharpness of the degraded image and also provide color constancy and dynamic range simultaneously.
Wang, Shuo +5 more
core +1 more source
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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CoDeF: Content Deformation Fields for Temporally Consistent Video Processing [PDF]
Computer Vision and Pattern Recognition, 2023 We present the content deformation field (CoDeF) as a new type of video representation, which consists of a canonical content field aggregating the static contents in the entire video and a temporal deformation field recording the transformations from ...
Hao Ouyang +8 more
semanticscholar +1 more source
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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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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