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CAMTrack: a combined appearance-motion method for multiple-object tracking
Object tracking has emerged as an essential process for various applications in the field of computer vision, such as autonomous driving. Recently,...
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Motion trajectory tracking of athletes with improved depth information-based KCF tracking method
In this paper, a computer vision-based technique is proposed to track the motion trajectories of athletes to improve sport performance and deliver...
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Jointly modeling association and motion cues for robust infrared UAV tracking
UAV tracking plays a crucial role in computer vision by enabling real-time monitoring UAVs, enhancing safety and operational capabilities while...
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Visual detection and tracking algorithms for human motion
In dense scenes, a large number of individuals can introduce serious complications for motion detection, such as blurred vision, chaotic scenes, and...
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Multiple object tracking based on appearance and motion graph convolutional neural networks with an explainer
The tracking performance of Multi-Object Tracking (MOT) has recently been improved by using discriminative appearance and motion features. However,...
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Multiple frequency–spatial network for RGBT tracking in the presence of motion blur
RGBT tracking combines visible and thermal infrared images to achieve tracking and faces challenges due to motion blur caused by camera and target...
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Video motion forgery detection using motion residual and object tracking
Due to the extensive application of the video editing tools, video authentification has become an interesting topic. Video motion forgery is one of...
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UMTSS: a unifocal motion tracking surveillance system for multi-object tracking in videos
Multiple object detection and tracking play a very crucial role in solving several elementary problems in real-time surveillance video analysis and...
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MotionTrack: rethinking the motion cue for multiple object tracking in USV videos
Multiple object tracking (MOT) in unmanned surface vehicle (USV) videos has many application scenarios in the military and civilian fields....
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Motion-aware object tracking for aerial images with deep features and discriminative correlation filter
Object tracking is a challenging task which is required for different problems such as surveillance, traffic analysis and human-computer interaction....
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Robust Visual Tracking with Motion-Aware and Automatic Temporal Regularization
Discriminative correlation filters (DCF) have significantly advanced visual target tracking. However, most DCF-based trackers suffer from various...
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Moving object detection method with motion regions tracking in background subtraction
Identifying any moving object is essential for wide-area surveillance systems and security applications. In this paper, we present a moving object...
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Dynamic vehicle pose estimation and tracking based on motion feedback for LiDARs
This paper presents a novel dynamic vehicle tracking framework, achieving accurate pose estimation and tracking in urban environments. For vehicle...
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Robust monocular object pose tracking for large pose shift using 2D tracking
Monocular object pose tracking has been a key technology in autonomous rendezvous of two moving platforms. However, rapid relative motion between...
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Human Motion Tracking via the Local Dissimilarity Map
AbstractIn this paper, we propose a robust visual tracking algorithm based on local dissimilarity map (LDM) and Kalman filter (KF). Firstly, we model...
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Error Motion Tracking Method for Athletes Based on Multi Eye Machine Vision
Traditional methods are unable to perform three-dimensional detection of erroneous movements, resulting in insufficient accuracy in tracking athlete...
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Human motion tracking and 3D motion track detection technology based on visual information features and machine learning
Human motion detection is a major subject of investigation in the field of machine visualization and synthetic integration. It serves a wide and...
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P-IoU: Accurate Motion Prediction Based Data Association for Multi-object Tracking
Multi-object tracking in complex scenarios remains a challenging task due to objects’ irregular motions and indistinguishable appearances....
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Transformer-based two-source motion model for multi-object tracking
Recently, benefit from the development of detection models, the multi-object tracking method based on tracking-by-detection has greatly improved...
