Results 31 to 40 of about 6,103,782 (279)
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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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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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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An Anti-Recompression Video Watermarking Algorithm in Bitstream Domain
Tsinghua Science and Technology, 2021 Following the popularity of digital video application, video copying and dissemination have become very easy; however, this makes video hacking and piracy a potential threat in video communication.
Jing Sun +4 more
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Interaction between High-Level and Low-Level Image Analysis for Semantic Video Object Extraction [PDF]
, 2004 The task of extracting a semantic video object is split into two subproblems, namely, object segmentation and region segmentation. Object segmentation relies on a priori assumptions, whereas region segmentation is data-driven and can be solved in an ...
Ebrahimi Touradj +5 more
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Automatic object classification for surveillance videos. [PDF]
, 2012 PhDThe recent popularity of surveillance video systems, specially located in urban scenarios, demands the development of visual techniques for monitoring purposes.
Fernandez Arguedas, Virginia
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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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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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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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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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