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A unified multi-view multi-person tracking framework
Despite significant developments in 3D multi-view multi-person (3D MM) tracking, current frameworks separately target footprint tracking, or pose...
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Learning rich feature representation and aggregation for accurate visual tracking
AbstractVisual tracking is a key component of computer vision and has a wide range of practical applications. Recently, the tracking-by-segmentation...
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PigPose: A Realtime Framework for Farm Animal Pose Estimation and Tracking
In industrial farming, livestock well-being is becoming increasingly more important. Animal breeding companies are interested in enhancing the total...
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Multi-modal visual tracking: Review and experimental comparison
Visual object tracking has been drawing increasing attention in recent years, as a fundamental task in computer vision. To extend the range of...
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BusWTE: Realtime Bus Waiting Time Estimation of GPS Missing via Multi-task Learning
Realtime bus waiting time is of great importance to the intelligent public transportation system and is beneficial for improving user satisfaction by...
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Dual knowledge distillation for visual tracking with teacher–student network
Knowledge distillation techniques have been successfully used in computer vision in recent years. The two main distillation techniques now in use are...
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Tracking
In this chapter, we will elaborate on the task of video object tracking (VOT), which aims at producing tight bounding boxes around one or multiple...
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Improved sheep identification and tracking algorithm based on YOLOv5 + SORT methods
This research emphasises the importance of sheep identification and tracking in precision livestock farming and investigates the use of deep learning...
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Long-term Visual Tracking: Review and Experimental Comparison
As a fundamental task in computer vision, visual object tracking has received much attention in recent years. Most studies focus on short-term visual...
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An efficient center-based method for real-time pig posture recognition and tracking
Detecting, tracking, and recognizing the posture of individual pigs are the primary computer vision tasks of many camera-based decision support tools...
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The Tenth Visual Object Tracking VOT2022 Challenge Results
The Visual Object Tracking challenge VOT2022 is the tenth annual tracker benchmarking activity organized by the VOT initiative. Results of 93 entries...
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Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking
Animal tracking is a crucial aspect of animal phenoty**, and industries are using computer vision-based methods to enhance their products. In this...
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Joint Detection and Association for End-to-End Multi-object Tracking
Multi-object tracking (MOT) is mainly used for detecting and tracking the object on multi-cameras, which is widely applied in intelligent video...
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From Sensory Perception to Realtime NonVerbal Communication
Researchers have found challenges regarding social perception in people with autism. Specific areas of inquiry are joint attention, that involves...
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Target tracking using video surveillance for enabling machine vision services at the edge of marine transportation systems based on microwave remote sensing
Automatic target tracking in emerging remote sensing video-generating tools based on microwave imaging technology and radars has been investigated in...
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Localization and tracking of stationary users for augmented reality
In augmented reality applications it is essential to know the position and orientation of the user to correctly register virtual 3D content in the...
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Detection and tracking of safety helmet based on DeepSort and YOLOv5
Safety helmets can effectively prevent accidental head injuries to construction personnel. Helmet wearing detection is of great significance to the...
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A collaborative target tracking algorithm for multiple UAVs with inferior tracking capabilities
Target tracking is one of the hottest topics in the field of drone research. In this paper, we study the multiple unmanned aerial vehicles...
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Cascaded-Scoring Tracklet Matching for Multi-object Tracking
Multi-object tracking (MOT) aims at locating the object of interest in a successive video sequence and associating the same moving object frame by...
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CGTracker: Center Graph Network for One-Stage Multi-Pedestrian-Object Detection and Tracking
Most current online multi-object tracking (MOT) methods include two steps: object detection and data association, where the data association step...