Results 11 to 20 of about 6,103,782 (279)
Fast human detection for video event recognition [PDF]
, 2009 Human body detection, which has become a research hotspot during the last two years, can be used in many video content analysis applications. This paper investigates a fast human detection method for volume based video event detection.
Wang, J, Xu, Zhijie, Hoder, M.E.
core +4 more sources
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
doaj +1 more source
Foreground detection of video through the integration of novel multiple detection algorithims [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityThe main outcomes of this research are the design of a foreground detection algorithm, which is more accurate and less time consuming than existing ...
Nawaz, Muhammad
core +6 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Subspace discovery for video anomaly detection [PDF]
, 2010 PhDIn automated video surveillance anomaly detection is a challenging task. We address this task as a novelty detection problem where pattern description is limited and labelling information is available only for a small sample of normal instances.
Tziakos, Ioannis
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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
doaj +1 more source
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
doaj +1 more source