ABCTracker: an easy-to-use, cloud-based application for tracking multiple objects
Visual multi-object tracking has the potential to accelerate many forms of quantitative analyses, especially in research communities investigating the motion, behavior, or social interactions within groups of animals. Despite its potential for increasing analysis throughput, complications related to accessibility, adaptability, accuracy, or scalable application arise with existing tracking systems. Several iterations of prototyping and testing have led us to a multi-object tracking system -- ABCTracker -- that is: accessible in both system as well as technical knowledge requirements, easily adaptable to new videos, and capable of producing accurate tracking data through a mixture of automatic and semi-automatic tracking features.
Code (0)
등록된 구현이 없습니다.
Tasks
Multi-Object TrackingObjectObject TrackingSimilar Papers 제목 키워드 기반
EasyTrack: Efficient and Compact One-stream 3D Point Clouds Tracker
Most of 3D single object trackers (SOT) in point clouds follow the two-stream multi-stage 3D Siamese or motion tracking paradigms, which process the template and search area point clouds with two parallel branches, built…
Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking
Multiple object tracking (MOT) is a significant task in achieving autonomous driving. Traditional works attempt to complete this task, either based on point clouds (PC) collected by LiDAR, or based on images captured fro…
Autonomous DrivingMulti-Object TrackingMultiple Object TrackingObject TrackingIntelligent driving vehicle front multi-target tracking and detection based on YOLOv5 and point cloud 3D projection
In multi-target tracking and detection tasks, it is necessary to continuously track multiple targets, such as vehicles, pedestrians, etc. To achieve this goal, the system must be able to continuously acquire and process …
Multi-Object TrackingObject TrackingPositionLiDAR Point Cloud-based Multiple Vehicle Tracking with Probabilistic Measurement-Region Association
Multiple extended target tracking (ETT) has gained increasing attention due to the development of high-precision LiDAR and radar sensors in automotive applications. For LiDAR point cloud-based vehicle tracking, this pape…
Easy-Poly: A Easy Polyhedral Framework For 3D Multi-Object Tracking
Recent advancements in 3D multi-object tracking (3D MOT) have predominantly relied on tracking-by-detection pipelines. However, these approaches often neglect potential enhancements in 3D detection processes, leading to …
3D Multi-Object TrackingAutonomous DrivingData AugmentationManagement+2