Pattern Recognition midterm Proposal Video Face recognition.

1. 基於臉部辨識的電影中⼈人物分析
Yu-Chen-Lin
Wang-Hsin-Shih

2. Outline
• Motivation
• Purpose
• Method
• Flow Chart
• Face Detection
• Face Recognition
• Experiment

3. Motivation
• 要找出特定演員在影⽚片中出現的時間往往曠⽇日
費時，需要看完整部影⽚片。︒
• 想要知道特定角⾊色在影⾯面中出現的時間和比重。︒
• 想看特定演員之間的對⼿手戲。︒

4. Methods
• 臉部辨識，從已知的演員清單中，取得演員的
照⽚片事先訓練好Model，再從input影⽚片中找出所
有演員出現的地⽅方。︒
• 將記錄出的時間點視覺畫呈現。︒
• 藉由偵測出不同演員的組合，將影⽚片區分出不
同的⽚片段。︒

5. Flow Chart
Input
Face Pre-
process
Feature
Extraction
Training
data
Face Pre-
process
Feature
Extraction
!
Classifier Output
Tag
Train
Test
Yes
No

6. Face Detection
• 偵測每個frame中是否找得到⼈人臉，並找出位置。︒
• Robust Real-Time Face Detection
(P Viola, MJ Jones - International journal of
computer vision, 2004 - Springer)
• Active Shape Models-Their Training and
Application
(TF Cootes, CJ Taylor, DH Cooper, J Graham -
1995)

8. Face Recognition
• Eigenfaces
“Application of the Karhunen-Loeve procedure for the
characterization of human faces”
• Fisherfaces
“Eigenfaces vs. Fisherfaces: Recognition Using Class
Specific Linear Projection”
• Local Binary Patterns Histograms
“Performance evaluation of texture measures with
classification based on Kullback discrimination of
distributions”

9. Experiment
• Face Recognition in Movie Trailers via Mean
Sequence Sparse Representation-based
Classification
(Enrique G. Ortiz, Alan Wright, and Mubarak Shah
CVPR 2013)
• Movie Trailer Face Dataset

11. Output
0
2
4
6
8
Time
0 17.5 35 52.5 70
演員A 演員B 演員C
演員D

12. Thank you
END