Human Identification at a Distance by Gait and Face Analysis —— A tutorial for ECCV2018

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.
c) Classification.

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)