Type-to-track: Retrieve any object via prompt-based tracking
One of the recent trends in vision problems is to use natural language captions to describe
the objects of interest. This approach can overcome some limitations of traditional methods …
the objects of interest. This approach can overcome some limitations of traditional methods …
Hig: Hierarchical interlacement graph approach to scene graph generation in video understanding
Visual interactivity understanding within visual scenes presents a significant challenge in
computer vision. Existing methods focus on complex interactivities while leveraging a simple …
computer vision. Existing methods focus on complex interactivities while leveraging a simple …
Multi-camera multi-object tracking on the move via single-stage global association approach
The development of autonomous vehicles generates a tremendous demand for a low-cost
solution based on a complete set of camera sensors to perceive the environment around the …
solution based on a complete set of camera sensors to perceive the environment around the …
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer
Enhancing roadway safety has become an essential computer vision focus area for
Intelligent Transportation Systems (ITS). As a part of ITS Vehicle Trajectory Prediction (VTP) …
Intelligent Transportation Systems (ITS). As a part of ITS Vehicle Trajectory Prediction (VTP) …
Motlee: Distributed mobile multi-object tracking with localization error elimination
We present MOTLEE, a distributed mobile multi-object tracking algorithm that enables a
team of robots to collaboratively track moving objects in the presence of localization error …
team of robots to collaboratively track moving objects in the presence of localization error …
Multi camera localization handover based on YOLO object detection algorithm in complex environments
W Wu, J Lai - IEEE Access, 2024 - ieeexplore.ieee.org
With the development of computer vision, image processing, and other technologies, the
management of smart cities has been enhanced, and intelligent visual detection and …
management of smart cities has been enhanced, and intelligent visual detection and …
[HTML][HTML] CarcassFormer: An End-to-end Transformer-based Framework for Simultaneous Localization, Segmentation and Classification of Poultry Carcass Defect
In the food industry, assessing the quality of poultry carcasses during processing is a crucial
step. This study proposes an effective approach for automating the assessment of carcass …
step. This study proposes an effective approach for automating the assessment of carcass …
Holistic and Contextual Evidential Stereo-LiDAR Fusion for Depth Estimation
Stereo-LiDAR fusion is often used for autonomous systems such as self-driving cars as the
two modalities are complementary to each other. Existing stereo-LiDAR fusion methods are …
two modalities are complementary to each other. Existing stereo-LiDAR fusion methods are …
Utopia: Unconstrained tracking objects without preliminary examination via cross-domain adaptation
Multiple Object Tracking (MOT) aims to find bounding boxes and identities of targeted
objects in consecutive video frames. While fully-supervised MOT methods have achieved …
objects in consecutive video frames. While fully-supervised MOT methods have achieved …
Depth perspective-aware multiple object tracking
This study aims to tackle Multiple Object Tracking (MOT), an essential problem in computer
vision that remains challenging due to many practical issues, especially occlusions. Indeed …
vision that remains challenging due to many practical issues, especially occlusions. Indeed …