Results 21 to 30 of about 11,032 (163)
Video Anomaly Detection Algorithm Based on Object Spatio-Temporal Context Fusion [PDF]
Jisuanji gongcheng, 2022 The purpose of video anomaly detection is to identify abnormal events in videos.Abnormal events primarily involve people, vehicles, and other objects.Each object in video data contains abundant spatio-temporal context information.However, most existing ...
GU Ping, QIU Jiatao, LUO Changjiang, ZHANG Zhipeng
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Moving Shadow Detection in Video Using Cepstrum [PDF]
, 2010 Moving shadows constitute problems in various applications such as image segmentation and object tracking. The main cause of these problems is the misclassification of the shadow pixels as target pixels.
Cogun, Fuat, Cetin, Ahmet Enis
core +1 more source
Impression Network for Video Object Detection
CoRR, 2017 Video object detection is more challenging compared to image object detection. Previous works proved that applying object detector frame by frame is not only slow but also inaccurate. Visual clues get weakened by defocus and motion blur, causing failure on corresponding frames.
Congrui Hetang +3 more
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Fast Object Detection in Compressed Video [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 10 pages, 7 figures and 2 ...
Shiyao Wang 0001 +3 more
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Object Detection by Neural Network for Smart Home [PDF]
Big Data and Computing Visions, 2022 Household object detection is a brand-new computer technique that combines image processing and computer vision to recognize objects in the home. All objects stored in the kitchen, room, and other areas will be detected by the camera.
Ibrahim Mekawy
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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 0005 +5 more
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Video and Image Salient Object Detection Based on Multi-task Learning [PDF]
Jisuanji kexueSalient object detection(SOD) can quickly identify high-value salient objects in complex scenes,which simulates human attention and lays the foundation for further vision understanding tasks.Currently,the mainstream methods for image-based salient object
LIU Zeyu, LIU Jianwei
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Smart home with neural network based object detection [PDF]
Big Data and Computing Visions, 2022 Household object detection is a brand-new computer technique that combines image processing and computer vision to recognise objects in the home. All objects stored in the kitchen, room, and other areas will be detected by the camera.
Agyan Panda, Sheila Maria Muniz
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Unmanned aerial vehicles object detection based on image haze removal under sea fog conditions
IET Image Processing, 2022 Unmanned aerial vehicles (UAVs) have gradually become a major air threat to ships because of small size, good maneuverability, and low cost. Vision‐based UAV detection offers one of the main ways to identify and protect against UAVs.
Wang Pikun +3 more
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Detection of object throwing behavior in surveillance videos
Electronic Imaging, 2023 Anomalous behavior detection is a challenging research area within computer vision. Progress in this area enables automated detection of dangerous behavior using surveillance camera feeds. A dangerous behavior that is often overlooked in other research is the throwing action in traffic flow, which is one of the unique requirements of our Smart City ...
Kersten, Ivo +3 more
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