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Particle Track Reconstruction Based on Deep Neural Networks
Particle track reconstruction based on deep learning methods -
PETA dataset
PETA dataset is a large-scale person re-identification dataset that contains binary and multi-class attribute annotations. -
MeEM: Robust Tracking via Multiple Experts
The MeEM tracker uses multiple experts to track objects. -
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... -
WILDTRACK: A multi-camera HD dataset for dense unscripted pedestrian detection
A multi-camera HD dataset for dense unscripted pedestrian detection -
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... -
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.