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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Akshay Patel,Jai Prakash Verma,Rachna Jain,Anand Nayyar

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Single-Object Detection from Video Streaming,to explore a more accurate and real-time approach that can better visualize a non-masked face in public which has become an important task in helping the international community. To detect its efficiency, diverse algorithms, methods, and techniques are proposed by researchers across the world, but Y

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Different Approaches to Background Subtraction and Object Tracking in Video Streams: A Review,rs. The video from these cameras is regularly monitored carefully or not at all; in fact, it is often used simply as a record to observe an incident once it is known to have taken place. It’s only utilized as an “after-the-fact” forensic tool; therefore, it’s no longer useful as an active, real-time

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Auto Alignment of Tanker Loading Arm Utilizing Stereo Vision Video and 3D Euclidean Scene Reconstrum with the vessel manifold. Depending on the source of power, either electrical or hydraulic assistance is used to move the loading arms..As all terminals are outfitted with video cameras that are trained on the loading arm for the terminal’s safety and security requirements, this chapter suggests a

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Visual Object Segmentation Improvement Using Deep Convolutional Neural Networks,is capable of abstracting given sets of data effectively in regions of interest. CNN portrayals of visual boosts have recently been displayed to match the handling stages in the back floods of the visual framework utilizing useful attractive reverberation imaging. It’s been less completely explored

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Automatic Helmet (Object) Detection and Tracking the Riders Using Kalman Filter Technique,soft computing have gained prominence. These studies have demonstrated considerable advancements in the solution of problems that are difficult to handle using traditional approaches. This chapter will present a thorough analysis of contemporary technologies for object detection and tracking with a

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Deep Learning-Based Multi-object Tracking,xact multiple object tracing is extremely difficult. The challenges are either due to object deformation, namely, pose variation, occlusion, and background clutter, or due to the dynamic environmental variations, namely, fog, snow, rain, and dust particles. In order to cope with these challenges, pl

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