Titlebook: Object Tracking Technology; Trends, Challenges a Ashish Kumar,Rachna Jain,Anand Nayyar Book 2023 The Editor(s) (if applicable) and The Auth

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Applications of Deep Learning-Based Methods on Surveillance Video Stream by Tracking Various Suspichways, universities, city administration offices, and smart cities. Using security software, an anomaly in the video can be detected swiftly and accurately. Video of riots, traffic violations, stampedes, and items like weapons left at sensitive locations, as well as abandoned luggage, illustrates an

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Hardware Design Aspects of Visual Tracking System,e and machine learning, object detection and visual tracking are becoming crucial as well. These techniques are very complex and frequently require more parallelized approach to the algorithm. General-purpose CPU core thus is not suitable for these applications. GPU and ASICs designed for such paral

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Automatic Helmet (Object) Detection and Tracking the Riders Using Kalman Filter Technique,os, the creation of autonomous video surveillance systems, etc. A typical use for such software is the analysis of object recognition and tracking in videos. Researchers have suggested a few clever ways in this context, including background detection, frame difference, and optical flow-based methods

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Multiple Object Tracking of Autonomous Vehicles for Sustainable and Smart Cities,nd environmental effects during a time of fast urban development. In this work, autonomous vehicles (AVs) are examined as a potential mode of transportation for sustainable and intelligent development. First, we examine the conventional approaches for object tracking and then the deep learning-based

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