Results 1 to 10 of about 41,400 (259)
Motion Vector Extrapolation for Video Object Detection [PDF]
Journal of Imaging, 2023 Despite the continued successes of computationally efficient deep neural network architectures for video object detection, performance continually arrives at the great trilemma of speed versus accuracy versus computational resources (pick two).
Julian True, Naimul Khan
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Object Detection-Based Video Compression
Applied Sciences, 2022 Video compression is designed to provide good subjective image quality, even at a high-compression ratio. In addition, video quality metrics have been used to show the results can maintain a high Peak Signal-to-Noise Ratio (PSNR), even at high ...
Myung-Jun Kim, Yung-Lyul Lee
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Attention-Guided Disentangled Feature Aggregation for Video Object Detection [PDF]
Sensors, 2022 Object detection is a computer vision task that involves localisation and classification of objects in an image. Video data implicitly introduces several challenges, such as blur, occlusion and defocus, making video object detection more challenging in ...
Shishir Muralidhara +5 more
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Moving Object Detection for Video Surveillance [PDF]
The Scientific World Journal, 2015 The emergence of video surveillance is the most promising solution for people living independently in their home. Recently several contributions for video surveillance have been proposed.
K. Kalirajan, M. Sudha
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Video Object Detection Guided by Object Blur Evaluation [PDF]
IEEE Access, 2020 In recent years, the excellent image-based object detection algorithms are transferred to the video object detection directly. These frame-by-frame processing methods are suboptimal owing to the degenerate object appearance such as motion blur, defocus ...
Yujie Wu +4 more
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UWV-Yolox: A Deep Learning Model for Underwater Video Object Detection [PDF]
Sensors, 2023 Underwater video object detection is a challenging task due to the poor quality of underwater videos, including blurriness and low contrast. In recent years, Yolo series models have been widely applied to underwater video object detection. However, these
Haixia Pan +7 more
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Improving Token-Based Object Detection With Video
IEEE AccessThis paper improves upon the Pix2Seq object detector by extending it for videos. In the process, it introduces a new way to perform end-to-end video object detection that improves upon existing video detectors in two key ways.
Abhineet Singh, Nilanjan Ray
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Visual Feature Learning on Video Object and Human Action Detection: A Systematic Review
Micromachines, 2021 Video object and human action detection are applied in many fields, such as video surveillance, face recognition, etc. Video object detection includes object classification and object location within the frame.
Dengshan Li +5 more
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Video Sparse Transformer With Attention-Guided Memory for Video Object Detection
IEEE Access, 2022 Detecting objects in a video, known as Video Object Detection (VOD), is challenging since appearance changes of objects over time may bring detection errors.
Masato Fujitake, Akihiro Sugimoto
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Survey of Video Object Detection Based on Deep Learning
Jisuanji kexue yu tansuo, 2021 Video object detection is to solve the problem of object localization and recognition in every video frame. Compared with image object detection, video is featured by high redundancy, which contains a lot of local spatio-temporal information.
WANG Dicong, BAI Chenshuai, WU Kaijun
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