Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking

Understand

Being intensively studied, visual tracking has seen great recent advances in either speed (e.g., with correlation filters) or accuracy (e.g., with deep features).

• Real-time and high accuracy tracking algorithms, however, remain scarce.
• In this paper we study the problem from a new perspective and present a novel parallel tracking and verifying (PTAV) framework, by taking advantage of the ubiquity of multi-thread techniques and borrowing from the success of parallel tracking and mapping in visual SLAM.
• Our PTAV framework typically consists of two components, a tracker T and a verifier V, working in parallel on two separate threads.