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A robust attribute-aware and real-time multi-target multi-camera tracking system using multi-scale enriched features and hierarchical clustering
Multi-Camera Multi-Target Tracking (MTMCT) has challenges such as viewpoint and pose variations, scale and illumination changes, and occlusion....
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Deep Learning-Based Multi-object Tracking
Multiple object tracking (MOT) is a technique of localizing numerous moving objects over time in a video clip. There are several uses for MOT,... -
HW/SW co-design on embedded SoC FPGA for star tracking optimization in space applications
Star trackers are crucial for satellite orientation. Improving their efficiency via reconfigurable COTS HW accommodates NewSpace missions. The...
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MultiBSP: multi-branch and multi-scale perception object tracking framework based on siamese CNN
Object tracking has achieved impressive performance in computer vision. However, there are many challenges due to complex scenarios in reality. The...
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Smart and Deep Hand Movement Tracking from Crowd Videos through Particle Filtering and Matrix Transformation
Existing social circumstances in current scenario highly demands for detection and prediction of violence. Cameras placed in almost every corner of...
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Polynomial Time Algorithms for Tracking Path Problems
Given a graph G , and terminal vertices s and t , the Tracking Paths problem asks to compute a set of minimum number of vertices to be marked as...
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Object tracking using fuzzy-based improved graph, interesting patches and multi-label MRF optimization
The complete object-tracking system typically comprises four phases. In this paper, we aim to focus on the first three phases. Graphs are often used...
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Hybrid modified marine predators algorithm with teaching-learning-based optimization for global optimization and abrupt motion tracking
Marine predators algorithm (MPA) has solved many challenging optimization problems since proposed. However, corresponding to specific optimization...
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Tracking Method of Ocean Drifting Buoy Based on Spectrum Analysis
In view of the poor accuracy of buoy estimation and tracking results caused by ignoring the influence of the marine environment on buoys in the... -
Multi-camera tracking of mechanically thrown objects for automated in-plant logistics by cognitive robots in Industry 4.0
Employing cognitive robots, capable of throwing and catching, is a strategy aimed at expediting the logistics process within Industry 4.0’s smart...
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Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees
In recent years, teams of robot and Unmanned Aerial Vehicles (UAVs) have been commissioned by researchers to enable accurate, online wildfire...
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Flexible Formation Control of Multiple Unmanned Vehicles Based on Artificial Potential Field Method
Aiming at the problems of high complexity, strong coupling, and difficulty in carrying out experiments in the unmanned boat formation control... -
Beyond tracking: using deep learning to discover novel interactions in biological swarms
Most deep-learning frameworks for understanding biological swarms are designed to fit perceptive models of group behavior to individual-level data...
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Multi-view Tracking, Re-ID, and Social Network Analysis of a Flock of Visually Similar Birds in an Outdoor Aviary
The ability to capture detailed interactions among individuals in a social group is foundational to our study of animal behavior and neuroscience....
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Emotion Tracking in Virtual Reality Fashion Shows
Virtual Reality (VR) technologies are increasingly being adopted in fashion marketing to create innovative new channels for sales, advertising, brand... -
Rigidity Based Time-Varying Formation Tracking Control for Autonomous Underwater Vehicles with Switching Topologies
This paper addresses the problem of time-varying formation tracking control problem of multiply autonomous underwater vehicles (AUVs) using switching... -
Practical tracking of MIMO uncertain stochastic systems driven by colored noises via active disturbance rejection control
This study addresses the practical tracking problem for a class of multi-input multi-output (MIMO) uncertain stochastic systems driven by colored...
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Analyzing the Performance of Object Detection and Tracking Techniques
Objects are detected in computer perspective widely in many real-world applications. In case of video processing, detection and tracking of objects... -
An Ensemble Approach for Moving Vehicle Detection and Tracking by Using Ni Vision Module
In the recent years, surveillance systems and video monitoring have been largely used for the management of traffic. Acquired images and video clips... -
Markerless gait estimation and tracking for postural assessment
Postural assessment is crucial in the sports screening system to reduce the risk of severe injury. The capture of the athlete’s posture using...