Results 31 to 40 of about 11,032 (163)
Fade-in and fade-out detection in video sequences using histograms [PDF]
, 2000 There is an increased need to extract key information automatically from video for the purposes of indexing, fast retrieval, and scene analysis. To support this vision, reliable scene change detection algorithms must be developed. Several algorithms have
Fernando, WAC, Canagarajah, CN, Bull, DR
core +1 more source
Video object detection from one single image through opto-electronic neural network
APL Photonics, 2021 An opto-electronic neural network is designed for video object detection from a long-exposure blurred image. This network combines an optical encoder, convolutional neural network decoder, and object detection module, which are jointly optimized end-to ...
Chengyang Hu +4 more
doaj +1 more source
Automatic Detection of Moving Objects in Video Surveillance [PDF]
2016 Global Summit on Computer & Information Technology (GSCIT), 2016 This work is in the field of video surveillance including motion detection. The video surveillance is one of essential techniques for automatic video analysis to extract crucial information or relevant scenes in video surveillance systems. The aim of our work is to propose solutions for the automatic detection of moving objects in real time with a ...
Larbi Guezouli, Hanane Belhani
openaire +2 more sources
Video foreground detection based on symmetric alpha-stable mixture models. [PDF]
, 2010 Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extracting regions of the foreground (moving objects) with the assumptions that the
L Mihaylova +8 more
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Fast-D: When Non-Smoothing Color Feature Meets Moving Object Detection in Real-Time
IEEE Access, 2020 The moving object detection refers to the detection of physical moving objects from a video, which is applied in video surveillance, object recognition, object counting, human-computer interaction, and so on.
Md. Alamgir Hossain +4 more
doaj +1 more source
Flame Detection for Video-based Early Fire Warning Systems and 3D Visualization of Fire Propagation [PDF]
, 2012 Early and accurate detection and localization of flame is an essential requirement of modern early fire warning systems. Video-based systems can be used for this purpose; however, flame detection remains a challenging issue due to the fact that many ...
Tsalakanidou, Filareti +5 more
core +1 more source
DFD based scene segmentation for H.263 video sequences [PDF]
, 1999 Content based indexing and retrieval of video is becoming increasingly important in many applications. Identifying scene changes and special effects in a video scene is an essential pre-requisite for indexing.
Fernando, WAC, Canagarajah, CN, Bull, DR
core +1 more source
Attention-Guided Disentangled Feature Aggregation for Video Object Detection
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
doaj +1 more source
Shadow Detection Based on Regions of Light Sources for Object Extraction in Nighttime Video
Sensors, 2017 Intelligent video surveillance systems detect pre-configured surveillance events through background modeling, foreground and object extraction, object tracking, and event detection.
Gil-beom Lee +4 more
doaj +1 more source
Mathematics, 2022 Recently, video surveillance systems have gained significant interest in several application areas. The examination of video sequences for the detection and tracking of objects remains a major issue in the field of image processing and computer vision ...
Maged Faihan Alotaibi +4 more
doaj +1 more source