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Accurate and responsive 3D tracking enables interactive and context-aware workspaces, including mixed reality 3D interfaces and collaborative tangible interactions. However, limitations of current tracking mechanisms - line-of-sight occlusion, drifting ...

Motion estimation is considered significant for tracking the movement of an object in video sequences, and it is widely used in various video processing applications. Traditionally, many researchers focus on pixel-based motion estimation for ...

Adversarial attacks in visual object tracking have significantly degraded the performance of advanced trackers by introducing imperceptible perturbations into images. However, there is still a lack of research on designing adversarial defense ...

Multi-modal Large Language Models (MLLMs) have demonstrated their ability to perceive objects in still images, but their application in video-related tasks, such as object tracking, remains understudied. This lack of exploration is primarily due ...

Tracking moving targets in satellite videos has lately gained popularity. However, the growth of target tracking in satellite videos is slower than in general videos due to the following factors. Satellite video tracking faces challenges stemming ...

In object tracking tasks, the use of a Siamese-based approach to construct trackers inevitably involves a crucial step - cross-correlation operations, which are employed to assess the similarity relationship between the template and the search area. ...

Target lost and robustness to occlusion scenarios hinder real-world applications of current object tracking methods. In this paper, we focus on reducing the frames of target lost in the single object tracking task. We propose a multi-template object ...

• Early Candidate Elimination Module reduces computational load.
• The Adaptive Appearance Update enhances the reliability of model updates.
• The model exhibits good generalization capabilities.
• This study provides technical support ...

Intelligent tracking and monitoring are fundamental to achieving precise posture recognition, health assessment, and accurate breeding in dairy goats. In view of the motion characteristics of dairy goats, which often exhibit significant posture ...

Display Omitted

• A camera system is presented to monitor broiler activity using 2D computer vision.
• A convolutional neural network-based chicken detector was developed.
• Individual birds were tracked using a minimum cost network flow based tracker.

To monitor changes in broiler behaviour related to animal health and welfare, farmers typically observe their flocks using manual observation. However, due to the labour intensive and continuous aspect of this task, the analysis of broiler ...

Table tennis is a popular sport around the world. A key technology in table tennis education and analysis system is reconstructing the trajectory of the fast-moving ball from videos. Typically the table tennis ball is too small and barely visible in the ...

The computer vision field of object identification and tracking has been put to use in a broad variety of settings, from medical monitoring to autonomous vehicle navigation to anomaly detection and beyond. The efficiency of object detectors and ...

The finetuning paradigm has been a widely used methodology for the supervised training of top-performing trackers. However, the finetuning paradigm faces one key issue: it is unclear how best to perform the finetuning method to adapt a pretrained model ...

Recently, a considerable number of top-performing Transformer based trackers have been proposed. However, most of them mainly focus on utilizing low-frequency information from a spatial-spectral analysis perspective, limiting their performance in ...

This paper proposes a video compression algorithm which bases on the combination of feature compression framework and multi-object tracking network. Here, the multi-object tracking network uses joint detection and embedding (JDE) network. The ...

RGB images can capture rich object information but are susceptible to environmental influences. Thermal images are insensitive to illumination changes and have strong haze transmission capability, but lack detailed texture information of the object. RGB ...

In recent years, transformer-based object tracking methods have demonstrated strong potential for development and outperformed traditional convolutional neural networks (CNN)-based models. However, most transformer-based trackers ignored the ...

RGBT tracking incorporates thermal infrared data to achieve more accurate visual tracking. However, the efficiency of RGBT tracking may be diminished by some bottlenecks, such as thermal crossover, illumination variation and occlusion. To address the ...

The RGBT target tracking method has recently gained popularity owing to the complementarity of RGB images and thermal images information. Although numerous RGBT tracking methods have been proposed, effectively utilizing dual-modality information is ...

This paper focuses on the detection and tracking of a golf ball from video input, as a part of a study aiming to evaluate the influence of instructional content delivered through Acceptance and Commitment Training (ACT) on sports performance. As part of ...

Infrared polarization feature improves the performance of anti-interference for object detection. Division-of-focal-plane polarization imagers (DPIs) make it possible for real-time object tracking in infrared polarization imaging. Output of DPIs is ...