Multiple object tracking in recent times: A literature review
Multiple object tracking gained a lot of interest from researchers in recent years, and it has
become one of the trending problems in computer vision, especially with the recent …
become one of the trending problems in computer vision, especially with the recent …
[HTML][HTML] Multi-object multi-camera tracking based on deep learning for intelligent transportation: A review
L Fei, B Han - Sensors, 2023 - mdpi.com
Multi-Objective Multi-Camera Tracking (MOMCT) is aimed at locating and identifying
multiple objects from video captured by multiple cameras. With the advancement of …
multiple objects from video captured by multiple cameras. With the advancement of …
Multi-modal sensor fusion and object tracking for autonomous racing
Reliable detection and tracking of surrounding objects are indispensable for comprehensive
motion prediction and planning of autonomous vehicles. Due to the limitations of individual …
motion prediction and planning of autonomous vehicles. Due to the limitations of individual …
A CNN-LSTM architecture for marine vessel track association using automatic identification system (AIS) data
In marine surveillance, distinguishing between normal and anomalous vessel movement
patterns is critical for identifying potential threats in a timely manner. Once detected, it is …
patterns is critical for identifying potential threats in a timely manner. Once detected, it is …
Fusion detection and ReID embedding with hybrid attention for multi-object tracking
Multi-object tracking (MOT) involves the prediction of object identities and their
corresponding bounding boxes within video or image sequences. While numerous models …
corresponding bounding boxes within video or image sequences. While numerous models …
[HTML][HTML] Traffic safety assessment for roundabout intersections using drone photography and conflict technique
Road design deficiencies and improper driver behavior at roundabout intersections may
result in traffic bottlenecks, irregular traffic patterns, and potential crashes. Thus, road safety …
result in traffic bottlenecks, irregular traffic patterns, and potential crashes. Thus, road safety …
[HTML][HTML] A new approach for drone tracking with drone using Proximal Policy Optimization based distributed deep reinforcement learning
Z Tan, M Karaköse - SoftwareX, 2023 - Elsevier
In this paper, a distributed deep reinforcement learning algorithm based on Proximal Policy
Optimization (PPO) is proposed for an unmanned aerial vehicle (UAV) to autonomously …
Optimization (PPO) is proposed for an unmanned aerial vehicle (UAV) to autonomously …
The Growing Strawberries Dataset: Tracking Multiple Objects with Biological Development over an Extended Period
J Wen, CR Verschoor, C Feng… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Multiple Object Tracking (MOT) is a rapidly developing research field that targets
precise and reliable tracking of objects. Unfortunately, most available MOT datasets typically …
precise and reliable tracking of objects. Unfortunately, most available MOT datasets typically …
[HTML][HTML] A multi-object tracker using dynamic Bayesian networks and a residual neural network based similarity estimator
In this paper we introduce a novel multi-object tracker based on the tracking-by-detection
paradigm. This tracker utilises a Dynamic Bayesian Network for predicting objects' positions …
paradigm. This tracker utilises a Dynamic Bayesian Network for predicting objects' positions …
Vehicle detection and tracking with roadside LiDAR using improved ResNet18 and the Hungarian algorithm
By the end of the 2020s, full autonomy in autonomous driving may become commercially
viable in certain regions. However, achieving Level 5 autonomy requires crucial …
viable in certain regions. However, achieving Level 5 autonomy requires crucial …