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Particle Track Reconstruction Based on Deep Neural Networks
Particle track reconstruction based on deep learning methods -
BAAI-VANJEE Roadside Dataset
A roadside LiDAR-based detection and tracking approach for pedestrians and vehicles -
Secondary school track assignment decisions by primary school teachers
The dataset used in this paper is a proprietary administrative data from Statistics Netherlands on all students that take the standardized end-of-primary education test in the... -
PETA dataset
PETA dataset is a large-scale person re-identification dataset that contains binary and multi-class attribute annotations. -
NR Sidelink Positioning
The dataset used in this paper is a set of ray-tracing based evaluations at the 26 GHz NR band, containing measurements of ToA, TDoA, and AoA. -
MeEM: Robust Tracking via Multiple Experts
The MeEM tracker uses multiple experts to track objects. -
Visual Tracking Benchmark
The Visual Tracking Benchmark (VTB) is a collection of 50 videos. -
Online Object Tracking Benchmark
The online tracking benchmark (OTB) is a collection of 50 videos. -
Siamese Instance Search for Tracking
The proposed Siamese Instance Search Tracker, SINT, tracks the target by matching the initial target in the first frame with candidates in a new frame and returns the most... -
PointOdyssey
PointOdyssey is a large-scale synthetic dataset for long-term point tracking, providing pixel-perfect annotation of point trajectories across long continuous videos. -
VisDrone-SOT2019
The VisDrone-SOT2019 dataset is a large-scale drone benchmark for single object tracking. -
WILDTRACK: A multi-camera HD dataset for dense unscripted pedestrian detection
A multi-camera HD dataset for dense unscripted pedestrian detection -
VisDrone2018
The image object detection track on VisDrone2018 provides a dataset of 10,209 images, with 10 categories of pedestrians, vehicles, and other traffic objects annotated. -
MOT17 and MOT20
Object permanence is the concept that objects in a physical world continue to exist despite the observers inability to sense them. This can result in temporally unstable... -
BEHAVE: Dataset and method for tracking human object interactions
BEHAVE: Dataset and method for tracking human object interactions. -
An experimental study for tracking ability of deep q-network
An experimental study for tracking ability of deep q-network. -
SoBiR dataset
The SoBiR dataset is used for soft biometric retrieval. It contains 8 camera views, 100 persons, and categorical annotations.
