Transformer-based assignment decision network for multiple object tracking
Data association is a crucial component for any multiple object tracking (MOT) method that
follows the tracking-by-detection paradigm. To generate complete trajectories such methods …
follows the tracking-by-detection paradigm. To generate complete trajectories such methods …
Lightweight vehicle detection based on improved YOLOv5s
Y Wang, S Xu, P Wang, K Li, Z Song, Q Zheng, Y Li… - Sensors, 2024 - mdpi.com
A vehicle detection algorithm is an indispensable component of intelligent traffic
management and control systems, influencing the efficiency and functionality of the system …
management and control systems, influencing the efficiency and functionality of the system …
Monocular vehicle speed detection based on improved YOLOX and DeepSORT
K Zhang, F Wu, H Sun, M Cai - Neural Computing and Applications, 2024 - Springer
A monocular vehicle speed detection method based on improved YOLOX and DeepSORT is
proposed for the simple scene of fixed shooting angle without high precision but requiring …
proposed for the simple scene of fixed shooting angle without high precision but requiring …
HDNet: Human-like discrimination with visual key for few-shot cross-domain object detection
M Liu, X Di, W Wang - Knowledge-Based Systems, 2024 - Elsevier
Most existing few-shot object detection (FSD) methods implicitly assume that the target
domain data with few samples conform to the same statistical distribution as the source …
domain data with few samples conform to the same statistical distribution as the source …
[HTML][HTML] Deep Efficient Data Association for Multi-Object Tracking: Augmented with SSIM-Based Ambiguity Elimination
A Prasannakumar, D Mishra - Journal of Imaging, 2024 - ncbi.nlm.nih.gov
Recently, to address the multiple object tracking (MOT) problem, we harnessed the power of
deep learning-based methods. The tracking-by-detection approach to multiple object …
deep learning-based methods. The tracking-by-detection approach to multiple object …
SPD-YOLOv8: an small-size object detection model of UAV imagery in complex scene
R Zhong, E Peng, Z Li, Q Ai, T Han, Y Tang - The Journal of …, 2024 - Springer
Traditional camera sensors rely on human observation. However, in complex scenes,
people often experience fatigue when observing objects of various sizes. Moreover, human …
people often experience fatigue when observing objects of various sizes. Moreover, human …
Analysis and detection system of accident using the surveillance cameras
J Shaji, ED Dileesh - AIP Conference Proceedings, 2024 - pubs.aip.org
Nowadays, we are unaware of the safety of driving on roads. Accident cases have been
increasing day by day. For a long period of time, accidents have been the main cause of …
increasing day by day. For a long period of time, accidents have been the main cause of …
Vehicle detection in varied weather conditions using enhanced deep YOLO with complex wavelet
Traffic congestion is prevalent in many major and medium-sized cities throughout different
countries in contemporary society. In traffic images, various multi-sized vehicles are tightly …
countries in contemporary society. In traffic images, various multi-sized vehicles are tightly …
[PDF][PDF] FIVE LEVELS OF TRAFFIC CONGESTION CLASSIFICATION USING IMAGES OF CLOSED-CIRCUIT TELEVISION AND TRAFFIC JAM NETWORK APPROACH
A Esswidi, A Daif, S Ardchir, MY Elghoumari… - researchgate.net
Reduced traffic congestion is the main objective of road management. Several approaches
have been developed to address the problem using various types of data. One of which, is …
have been developed to address the problem using various types of data. One of which, is …