Online Multiple Pedestrians Tracking using Deep Temporal Appearance Matching Association

Understand

In online multi-target tracking, modeling of appearance and geometric similarities between pedestrians visual scenes is of great importance.

• The higher dimension of inherent information in the appearance model compared to the geometric model is problematic in many ways.
• However, due to the recent success of deep-learning-based methods, handling of high-dimensional appearance information becomes feasible.
• Among many deep neural networks, Siamese network with triplet loss has been widely adopted as an effective appearance feature extractor.