Results 1 to 10 of about 44,903 (161)
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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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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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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A Review of Video Object Detection: Datasets, Metrics and Methods
Applied Sciences, 2020 Although there are well established object detection methods based on static images, their application to video data on a frame by frame basis faces two shortcomings: (i) lack of computational efficiency due to redundancy across image frames or by not ...
Haidi Zhu +4 more
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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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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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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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Video Saliency Detection Using Object Proposals [PDF]
IEEE Transactions on Cybernetics, 2018 In this paper, we introduce a novel approach to identify salient object regions in videos via object proposals. The core idea is to solve the saliency detection problem by ranking and selecting the salient proposals based on object-level saliency cues.
Dacheng Tao +2 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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REAL-TIME OBJECT DETECTION IN VIDEOS USING DEEP LEARNING MODELS [PDF]
ICTACT Journal on Image and Video Processing, 2023 Video object detection plays a pivotal role in various applications, from surveillance to autonomous vehicles. This research addresses the need for real-time object detection in videos using advanced deep learning models.
M. Monika +3 more
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