Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and...

16
Viewpoint Invariant Human Re- identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang Li, Student Member, IEEE, and Richard J. Radke, Senior Member, IEEE IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, OCTOBER 2013

TAGS:

Transcript of Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and...

Page 1: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Viewpoint Invariant Human Re-identification inCamera Networks Using Pose Priors and

Subject-Discriminative Features

Ziyan Wu, Student Member, IEEE, Yang Li, Student Member, IEEE, and Richard J. Radke, Senior Member, IEEE

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, OCTOBER 2013

Page 2: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Outline

• Introduction

• Related Work

• Proposed Method

• Experimental Results

• Conclusion

Page 3: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Introduction

• Overlapping field of view

Page 4: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Introduction

• Non overlapping field of view: human identification problem

Page 5: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Introduction

• Difficulties:

• Different camera viewpoint

• Perspective distortion

Page 6: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Related Work

• Human identification methods:1.Biometric method: Face[21], gait[46], silhouette[44]

2.Feature based: part based descriptor[4][10], SIFT[32], color histogram[13]

Page 7: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

• [4] S. Bak, E. Corv ´ ee, F. Br ´ emond, and M. Thonnat. Person reidentification using spatial covariance regions of human body parts. AVSS, 2010

• [13] A. D’Angelo and J.-L. Dugelay. People re-identification in camera networks based on probabilistic color histograms. SPIE Electronic Imaging, 2011

• [10] L. Bourdev, S. Maji, and J. Malik. Describing people: A poseletbased approach to attribute classification. ICCV, 2011

• [21] M. Hirzer, C. Beleznai, P. M. Roth, and H. Bischof. Person reidentification by descriptive and discriminative classification. SCIA, 2011

• [32] D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision, 60(2):91–110, Nov. 2004

• [44] D.-N. Truong Cong, L. Khoudour, C. Achard, C. Meurie, and O. Lezoray. People re-identification by spectral classification of silhouettes. Signal Process., 90(8):2362–2374, Aug. 2010

• [46] L. Wang, T. Tan, H. Ning, and W. Hu. Silhouette analysis based gait recognition for human identification. IEEE Trans.Pattern Anal. Mach. Intell., 25(12):1505–1518, Dec. 2003

Page 8: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Proposed Method

• Overview

Page 9: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Proposed Method

• Sub-image rectification:

Page 10: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Proposed Method

• View point angle

Page 11: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Proposed Method

• Pose prior:

Page 12: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Proposed Method

Page 13: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Proposed Method

Page 14: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Proposed Method

Page 15: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Experimental Results

Page 16: Viewpoint Invariant Human Re-identification in Camera Networks Using Pose Priors and Subject-Discriminative Features Ziyan Wu, Student Member, IEEE, Yang.

Conclusion

• 1.Proposed a viewpoint variance identification method

• 2.pose prior improve the performance

• 3.It can be apply to surveillance systems


MaxentModels and Discriminative Estimation · PDF fileMaxentModels and Discriminative Estimation Generative vs. Discriminative models Christopher Manning. Discriminative Model Features

MaxentModels and Discriminative Estimation · PDF fileMaxentModels and Discriminative Estimation Generative vs. Discriminative models Christopher Manning. Discriminative Model Features

Histopathological Image Classification using Discriminative ... · Histopathological Image Classification using Discriminative Feature-oriented ... our Discriminative Feature-oriented

Histopathological Image Classification using Discriminative ... · Histopathological Image Classification using Discriminative Feature-oriented ... our Discriminative Feature-oriented

Tractography-based priors for dynamic causal · PDF fileTractography-based priors for dynamic causal models ... One of the key themes in biology is the ... Tractography-based priors

Tractography-based priors for dynamic causal · PDF fileTractography-based priors for dynamic causal models ... One of the key themes in biology is the ... Tractography-based priors

Machine Learning Classification, Discriminative …...Machine Learning Classification, Discriminative learning Structured output, structured input, discriminative function, joint

Machine Learning Classification, Discriminative …...Machine Learning Classification, Discriminative learning Structured output, structured input, discriminative function, joint

LECTURE 25: DISCRIMINATIVE TRAINING

LECTURE 25: DISCRIMINATIVE TRAINING

Blind Image Deblurring via Deep Discriminative Priors

Blind Image Deblurring via Deep Discriminative Priors

Discriminative Transfer Learning with Tree-based Priorsrsalakhu/papers/tree_based.pdf · 2013-11-20 · Discriminative Transfer Learning with Tree-based Priors Nitish Srivastava Department

Discriminative Transfer Learning with Tree-based Priorsrsalakhu/papers/tree_based.pdf · 2013-11-20 · Discriminative Transfer Learning with Tree-based Priors Nitish Srivastava Department

The Dark-Purple Tea Cultivar Ziyan Accumulates a Large ...

The Dark-Purple Tea Cultivar Ziyan Accumulates a Large ...

Abstractdivided into internal priors and external priors. The internal image priors are directly learned on the input test image itself, while the external image priors need to be

Abstractdivided into internal priors and external priors. The internal image priors are directly learned on the input test image itself, while the external image priors need to be

Exploiting Tree Sparse Priors

Exploiting Tree Sparse Priors

THE PARISH OF SALFORD PRIORS · THE PARISH OF SALFORD PRIORS Incorporating Abbots’ Salford, Dunnington, Iron ross, Pitchill, Rushford, Salford Priors and The evingtons. Introduction

THE PARISH OF SALFORD PRIORS · THE PARISH OF SALFORD PRIORS Incorporating Abbots’ Salford, Dunnington, Iron ross, Pitchill, Rushford, Salford Priors and The evingtons. Introduction

Discriminative and Generative Classifiers

Discriminative and Generative Classifiers

Taming the Beast Workshop Priors and starting values...Taming the Beast Priors and starting values Priors Prior distribution Tree prior Substitution model prior Clock prior Parameter

Taming the Beast Workshop Priors and starting values...Taming the Beast Priors and starting values Priors Prior distribution Tree prior Substitution model prior Clock prior Parameter

Goal-Based Action Priors

Goal-Based Action Priors

IMPROPER PRIORS FIDUCIAL INFERENCE - Statistics · “Improper priors are just limits of proper priors ... ” We present ingredients in a mathematical theory for statistics which

IMPROPER PRIORS FIDUCIAL INFERENCE - Statistics · “Improper priors are just limits of proper priors ... ” We present ingredients in a mathematical theory for statistics which

Document Priors - ils.unc.edu

Document Priors - ils.unc.edu

Biospheric Models as Priors

Biospheric Models as Priors

Priors Barn

Priors Barn

Turner Priors

Turner Priors

Discriminative Adaptive Training and Discriminative Adaptationmi.eng.cam.ac.uk/seminars/speech/lan_seminar1.pdf · Discriminative Adaptive Training and Discriminative Adaptation Lan

Discriminative Adaptive Training and Discriminative Adaptationmi.eng.cam.ac.uk/seminars/speech/lan_seminar1.pdf · Discriminative Adaptive Training and Discriminative Adaptation Lan