Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/240474
Title: A Novel Approach For Object Detection In Video
Researcher: Lajari S. Alandkar
Guide(s): Sachin Gengaje
Keywords: Engineering and Technology,Computer Science,Imaging Science and Photographic Technology
University: Solapur University
Completed Date: 
Abstract: Human requirement of automated detection system in personal, commercial, industrial, military areas lead to development and innovation of Video Analytics which will make lives easier as well as enable us to compete with future technologies and on the other hand it pushes us to analyze the challenge of automated video surveillance scenarios. newlineHumans have an amazing capacity for decision making but are notoriously poor at maintaining concentration levels [1]. A variety of studies have shown that after 20 minutes of watching, up to 90% of the information being shown on monitors will be missed. As Closed Circuit Tele-Vision (CCTV) culture continues to grow, humans would require to observe feed from hundreds of camera 24 X 7[2]. Simple traditional CCTV is shown in Fig 1.1 that basically allowed an operator to observe from different location. It shows requirement of automatic system that analyses and stores video from hundreds of cameras and other sensors, detecting events of interest continuously, and allowing search and browsing of data through sophisticated user interface [2]. It is simply known as Video Analytics. newline newline
Pagination: 
URI: http://hdl.handle.net/10603/240474
Appears in Departments:Department of Electronics

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01_title.pdfAttached File95.06 kBAdobe PDFView/Open
02_certificate.pdf89.69 kBAdobe PDFView/Open
03_acknowledgement.pdf83.55 kBAdobe PDFView/Open
04_contents.pdf215.6 kBAdobe PDFView/Open
05_preface.pdf234.48 kBAdobe PDFView/Open
06_list_of _fig_table.pdf232.84 kBAdobe PDFView/Open
07_chapter_1.pdf327.31 kBAdobe PDFView/Open
08_chapter_2.pdf757.77 kBAdobe PDFView/Open
09_chapter_3.pdf151.3 kBAdobe PDFView/Open
10_chapter_4.pdf1.26 MBAdobe PDFView/Open
11_chapter_5.pdf1.15 MBAdobe PDFView/Open
12_chapter_6.pdf914.71 kBAdobe PDFView/Open
13_chapter_7.pdf659.65 kBAdobe PDFView/Open
14_chapter_8.pdf185.38 kBAdobe PDFView/Open
15_references.pdf234.57 kBAdobe PDFView/Open


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