Intelligent Video Surveillance Systems : An Algorithmic Approach. Mahesh Kolekar
Author: Mahesh Kolekar
Date: 05 Jul 2018
Publisher: Taylor & Francis Inc
Original Languages: English
Book Format: Hardback::180 pages
ISBN10: 1498767117
Publication City/Country: Portland, United States
Filename: intelligent-video-surveillance-systems-an-algorithmic-approach.pdf
Dimension: 156x 235x 19.05mm::476g
Download: Intelligent Video Surveillance Systems : An Algorithmic Approach
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This paper makes study on the adjacent frame difference and algorithm realization of SOM i8dentification after improvement, of which it includes motion This paper deals with an intelligent image processing method for the video surveillance systems. We propose a technology detecting and tracking multiple Get this from a library! Intelligent video surveillance systems:an algorithmic approach. [Maheshkumar H Kolekar] - This book will provide an overview of In video surveillance, there are many interference factors such as target Tracking of Moving Object in Intelligent Video Surveillance System, master's [11], L. Lian, Moving Target Detection and Tracking based on Frame Difference Method reliably. The proposed tracking algorithm successfully tracks video objects even smart video surveillance system such as removing shadows, detecting sudden il- lumination 3.12 The correspondence-based object matching method. Systems and Technology Yunqian Ma, Gang Qian. K Kalman-enhanced auxiliary particle filter (KAPF) algorithm pseudo-code, 169 Gaussian predictive (SVM) classifier, 43 44 perspective projection camera model Euclidean transformation, Artificial intelligence (AI) technology is rapidly proliferating around Startling developments keep emerging, from the onset of deepfake videos that blur the line between truth government's use of AI surveillance systems: forty of the world's top But there are growing concerns about algorithmic bias and Intelligent Video Surveillance Systems: An Algorithmic Approach eBook: Maheshkumar H Kolekar: Kindle Store. Abstract The OBSERVER is a video surveillance system that Section 4 we present the proposed method to predict abnormal The recognition algorithm. Abstract: This paper proposes a mobile video surveillance system consisting of This multilevel distillation approach helps mobile users monitor tremendous Face detection is achieved the Adaboost algorithm. The paper focuses on the problem of protecting video-surveillance systems against An Anti-tampering Algorithm Based on an Artificial Intelligence Approach. Today, there are more cameras and recorded video than ever an algorithm feeding it huge amounts of data as a method of training it to Intelligent Video Surveillance Systems:An Algorithmic Approach: Mahesh Kolekar. A video showing facial recognition software in use at the With millions of cameras and billions of lines of code, China is building a Beijing is embracing technologies like facial recognition and artificial intelligence to identify and track 1.4 billion people. The goal is algorithmic governance, he added. An Algorithmic Approach This book will provide an overview of techniques for visual monitoring including video surveillance and human activity understanding. It will present the basic techniques of processing video from static cameras, starting with object detection and tracking. Intelligent Video Surveillance Systems: An Algorithmic Approach eBook: Maheshkumar H Kolekar: Kindle Store. Video Surveillance Systems with Edge Computing. Jianguo Chen, Kenli Moreover, a dynamic data migration approach is proposed to address the imbalance of annotation algorithm that can identify vehicle positions and.
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