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Found 5 papers, 0 papers with code
Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking
To achieve this goal, we present an Adaptive Time-Surface with Linear Time Decay (ATSLTD) event-to-frame conversion algorithm, which asynchronously and effectively warps the spatio-temporal information of asynchronous retinal events to a sequence of ATSLTD frames with clear object contours.
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking
We feed the sequence of TSLTD frames to a novel Retinal Motion Regression Network (RMRNet) to perform an end-to-end 5-DoF object motion regression.
Dual Semantic Fusion Network for Video Object Detection
Video object detection is a tough task due to the deteriorated quality of video sequences captured under complex environments.
Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning
In this paper, we propose a robust tracking method via Statistical Positive sample generation and Gradient Aware learning (SPGA) to address the above two limitations.
Event Data Association via Robust Model Fitting for Event-based Object Tracking
In EDA, we first asynchronously fuse the event data based on its information entropy.
