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Pattern Recognition midterm Proposal

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Pattern Recognition midterm Proposal
Video Face recognition.

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Pattern Recognition midterm Proposal

  1. 1. 基於臉部辨識的電影中⼈人物分析 Yu-Chen-Lin Wang-Hsin-Shih
  2. 2. Outline • Motivation • Purpose • Method • Flow Chart • Face Detection • Face Recognition • Experiment
  3. 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. 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. 5. Flow Chart Input Face Pre- process Feature Extraction Training data Face Pre- process Feature Extraction ! Classifier Output Tag Train Test Yes No
  6. 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)
  7. 7. 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”
  8. 8. 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
  9. 9. 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
  10. 10. Thank you END

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