Results 11 to 20 of about 11,032 (163)
Improved Feature Extraction and Similarity Algorithm for Video Object Detection
Information, 2023 Video object detection is an important research direction of computer vision. The task of video object detection is to detect and classify moving objects in a sequence of images.
Haotian You, Yufang Lu, Haihua Tang
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MethodsX, 2023 Video streams can come from various sources, such as surveillance cameras, live events, drones, and video-sharing platforms. Video stream mining is challenging due to the extensive resources needed to analyze and extract useful information from ...
Ary Mazharuddin Shiddiqi +2 more
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Local Attention Sequence Model for Video Object Detection
Applied Sciences, 2021 Video object detection still faces several difficulties and challenges. For example, the imbalance of positive and negative samples leads to low information processing efficiency, and detection performance declines in abnormal situations in video.
Zhenhui Li +4 more
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Video object detection of the fully mechanized working face based on deep neural network
Gong-kuang zidonghua, 2022 The environment of the fully mechanized working face is complex. The terrain is long and narrow. The multi-object and multi-equipment often appear in the same scene, which makes object detection more difficult.
YANG Yi +4 more
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Method for Fast Video Object Detection Based on Local Attention [PDF]
Jisuanji gongcheng, 2022 Video object detection is used to classify and locate targets in a video accurately.Existing video object detection methods based on deep learning propagate features through optical flow, which not only has the problem of a large number of model ...
SHI Yuhu, ZHANG Qigui
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Few-Shot Video Object Detection
, 2022 We introduce Few-Shot Video Object Detection (FSVOD) with three contributions to real-world visual learning challenge in our highly diverse and dynamic world: 1) a large-scale video dataset FSVOD-500 comprising of 500 classes with class-balanced videos in each category for few-shot learning; 2) a novel Tube Proposal Network (TPN) to generate high ...
Qi Fan, Chi-Keung Tang, Yu-Wing Tai
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Temporal-Guided Label Assignment for Video Object Detection
Applied Sciences, 2022 In video object detection, the deterioration of an object’s appearance in a single frame brings challenges for recognition; therefore, it is natural to exploit temporal information to boost the robustness of video object detection.
Shu Tian, Meng Xia, Chun Yang
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Object detection in sports videos
2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2018 Object detection is commonly used in many computer vision applications. In our case, we need to apply the object detector as a prerequisite for action recognition in handball scenes. Object detection, to be successful for this task, should be as accurate as possible and should be able to deal with a different number of objects of various sizes ...
Matija Buric +2 more
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Video Compression for Object Detection Algorithms [PDF]
2018 24th International Conference on Pattern Recognition (ICPR), 2018 Video compression algorithms have been designed aiming at pleasing human viewers, and are driven by video quality metrics that are designed to account for the capabilities of the human visual system. However, thanks to the advances in computer vision systems more and more videos are going to be watched by algorithms, e.g.
Leonardo Galteri +3 more
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Embedded Real-time Video Object Detection Algorithm Based on YOLOv3 [PDF]
Jisuanji gongcheng, 2020 Despite the outstanding performance of deep neural network in object detection,it is hard to implement high-performance real-time object detection on embedded devices due to the complex structure and large amounts of required computation.To address the ...
YIN Yanqing, GONG Huajun, WANG Xinhua
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