The outline of the half-day tutorial:
i. Introduction and overview of the tutorial: Motivations, challenges, available gait and face datasets. (15~20 minutes)
ii. A comprehensive survey on the whole pipeline of gait- and face-based human identification. (50~60 minutes)
1. Traditional approaches for gait- and face- based human identification at a distance
a) Image representation.
b) Feature dimensionality reduction.
2. Advanced deep learning approaches for gait- and face- based human identification at a distance.
a) The network architecture design for gait and face recognition
b) The influencing factors to the performance such as input features, input resolution, temporal information, data augmentation, etc.
c) State-of-the-art gait and face recognition results on common benchmarks
iii. Applications of gait and face recognition in different kinds of visual tasks. (30~40 minutes)
iv. Suggestions in practice and discussion on potential directions. (10~15 minutes)
v. Experience the newest gait recognition system. (15~30 minutes)
vi. Open questions and discussion. (15~30minutes)