Results 11 to 20 of about 41,400 (259)
Salient object detection in egocentric videos
IET Image ProcessingIn the realm of video salient object detection (VSOD), the majority of research has traditionally been centered on third‐person perspective videos. However, this focus overlooks the unique requirements of certain first‐person tasks, such as autonomous ...
Hao Zhang +4 more
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Deep Learning Based Salient Object Detection in Infrared Video [PDF]
Jisuanji kexue, 2023 In the face of massive infrared video images with more and more complex background,the performance of the tradi-tional methods for salient object detection decreases significantly.In order to improve the performance of salient object detection in ...
ZHU Ye, HAO Yingguang, WANG Hongyu
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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.
Fang Guo +6 more
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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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Object Detection in Videos by High Quality Object Linking [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Compared with object detection in static images, object detection in videos is more challenging due to degraded image qualities. An effective way to address this problem is to exploit temporal contexts by linking the same object across video to form tubelets and aggregating classification scores in the tubelets.
Peng Tang +5 more
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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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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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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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