نتایج جستجو برای: video surveillance

تعداد نتایج: 258055  

2018

Video surveillance is an important area of computer vision research, its applications including both outdoor and indoor automated surveillance systems. Detecting through video image processing is one of the most attractive alternative new technologies as it offers opportunities for performing substantially more complex tasks and providing more information than other sensors. Video Surveillance ...

2018

Video surveillance is an important area of computer vision research, its applications including both outdoor and indoor automated surveillance systems. Detecting through video image processing is one of the most attractive alternative new technologies as it offers opportunities for performing substantially more complex tasks and providing more information than other sensors. Video Surveillance ...

2015
Pavan Kumar

Video surveillance is an important area of computer vision research, its applications including both outdoor and indoor automated surveillance systems. Detecting through video image processing is one of the most attractive alternative new technologies as it offers opportunities for performing substantially more complex tasks and providing more information than other sensors. Video Surveillance ...

2018

Video surveillance is an important area of computer vision research, its applications including both outdoor and indoor automated surveillance systems. Detecting through video image processing is one of the most attractive alternative new technologies as it offers opportunities for performing substantially more complex tasks and providing more information than other sensors. Video Surveillance ...

2018

Video surveillance is an important area of computer vision research, its applications including both outdoor and indoor automated surveillance systems. Detecting through video image processing is one of the most attractive alternative new technologies as it offers opportunities for performing substantially more complex tasks and providing more information than other sensors. Video Surveillance ...

2018

Video surveillance is an important area of computer vision research, its applications including both outdoor and indoor automated surveillance systems. Detecting through video image processing is one of the most attractive alternative new technologies as it offers opportunities for performing substantially more complex tasks and providing more information than other sensors. Video Surveillance ...

Journal: :JIP 2014
Yu Wang Jien Kato Kenji Mase

We propose a novel video summarization approach that takes the mass quantity of nursery school surveillance videos as input and produces short daily video digests for children. The proposed approach makes full use of a distance metric, which is learned using a novel learning algorithm called the adaptive large margin nearest neighbor (ALMNN), and can properly measure the similarity between vide...

2016
R. Karthikeyan P. Mahalakshmi N. Gowri Shankar S. A. Velastin N. Sulman T. Sanocki D. Goldgof W. Hu T. Tan L. Wang Massimo Piccardi

Intelligent Video Surveillance allows users to easily monitor the secure areas with surveillance cameras, and thus eliminating the need for manual work and saves the huge monitoring costs. A novel method for object tracking, based on image segmentation is proposed to automatically recognize activities around restricted area to improve safety and security of the servicing area by multiplexing hu...

2016
Varsha Sachdeva Junaid Baber Maheen Bakhtyar Muzamil Bokhari Imran Ali

This survey report overviews recent frameworks on face recognition and retrieval solutions for videos search and surveillance applications. We introduce an engineering of a bland framework for facial detection, retrieval and recognition in video and audit scholarly frameworks reported in the scholastic writing suitable for videos search and surveillance applications. Suggestions on the choice o...

Journal: :CoRR 2011
Hong Jiang Wei Deng Zuowei Shen

A compressive sensing method combined with decomposition of a matrix formed with image frames of a surveillance video into low rank and sparse matrices is proposed to segment the background and extract moving objects in a surveillance video. The video is acquired by compressive measurements, and the measurements are used to reconstruct the video by a low rank and sparse decomposition of matrix....

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