From the reviews: "This book is a collection of 30 scientific papers organized in four parts. The topics that are reviewed in this book are mainly people and face detection, pose estimation, tracking and activity recognition. The book covers a broad domain making the book appealing to not only graduate students in the computer vision field, but also scholars and researchers." (Norberto Goussies, IAPR Newsletter, Vol. 35 (3), July, 2013)

• Part I: Detection and Tracking.- Is There Anybody Out There?- Beyond the Static Camera: Issues and Trends in Active Vision.- Figure-Ground Segmentation: Pixel-Based: Figure-Ground Segmentation: Object Based.- Face Detection.- Wide Area Tracking in Single and Multiple Views.- Benchmark Datasets for Detection and Tracking.- Part II: Pose Estimation.- Articulated Pose Estimation and Tracking: Introduction.- Model-based Pose Estimation.- Motion Models for People Tracking.- Part-based Models for Finding People and Estimating Their Pose.- Feature-based Pose Estimation.- Benchmark Datasets for Pose Estimation and Tracking.- Part III: Recognition.- On Human Action.- Motion Pattern Analysis for Modeling and Recognition of Complex Human Activities.- Action Recognition Using Topic Models.Learning Action Primitives.- Contextual Action Recognition.- Facial Expression Analysis.- Part IV: Applications.- Applications for Visual Analysis of People.- Image and Video-based Biometrics.- Security and Surveillance.- Predicting Pedestrian Trajectories.- Human Computer Interaction.- Social Signal Processing: The Research Agenda.- Sign Language Recognition.- Sports TV Applications of Computer Vision.- Multi-view 4D Reconstruction of Human Action for Entertainment.- Vision for Driver Assistance: Looking at People in a Vehicle.

From the reviews: "This book is a collection of 30 scientific papers organized in four parts. The topics that are reviewed in this book are mainly people and face detection, pose estimation, tracking and activity recognition. The book covers a broad domain making the book appealing to not only graduate students in the computer vision field, but also scholars and researchers." (Norberto Goussies, IAPR Newsletter, Vol. 35 (3), July, 2013)

• Part I: Detection and Tracking.- Is There Anybody Out There?- Beyond the Static Camera: Issues and Trends in Active Vision.- Figure-Ground Segmentation: Pixel-Based: Figure-Ground Segmentation: Object Based.- Face Detection.- Wide Area Tracking in Single and Multiple Views.- Benchmark Datasets for Detection and Tracking.- Part II: Pose Estimation.- Articulated Pose Estimation and Tracking: Introduction.- Model-based Pose Estimation.- Motion Models for People Tracking.- Part-based Models for Finding People and Estimating Their Pose.- Feature-based Pose Estimation.- Benchmark Datasets for Pose Estimation and Tracking.- Part III: Recognition.- On Human Action.- Motion Pattern Analysis for Modeling and Recognition of Complex Human Activities.- Action Recognition Using Topic Models.Learning Action Primitives.- Contextual Action Recognition.- Facial Expression Analysis.- Part IV: Applications.- Applications for Visual Analysis of People.- Image and Video-based Biometrics.- Security and Surveillance.- Predicting Pedestrian Trajectories.- Human Computer Interaction.- Social Signal Processing: The Research Agenda.- Sign Language Recognition.- Sports TV Applications of Computer Vision.- Multi-view 4D Reconstruction of Human Action for Entertainment.- Vision for Driver Assistance: Looking at People in a Vehicle.

From the reviews: "This book is a collection of 30 scientific papers organized in four parts. The topics that are reviewed in this book are mainly people and face detection, pose estimation, tracking and activity recognition. The book covers a broad domain making the book appealing to not only graduate students in the computer vision field, but also scholars and researchers." (Norberto Goussies, IAPR Newsletter, Vol. 35 (3), July, 2013)

• Part I: Detection and Tracking.- Is There Anybody Out There?- Beyond the Static Camera: Issues and Trends in Active Vision.- Figure-Ground Segmentation: Pixel-Based: Figure-Ground Segmentation: Object Based.- Face Detection.- Wide Area Tracking in Single and Multiple Views.- Benchmark Datasets for Detection and Tracking.- Part II: Pose Estimation.- Articulated Pose Estimation and Tracking: Introduction.- Model-based Pose Estimation.- Motion Models for People Tracking.- Part-based Models for Finding People and Estimating Their Pose.- Feature-based Pose Estimation.- Benchmark Datasets for Pose Estimation and Tracking.- Part III: Recognition.- On Human Action.- Motion Pattern Analysis for Modeling and Recognition of Complex Human Activities.- Action Recognition Using Topic Models.Learning Action Primitives.- Contextual Action Recognition.- Facial Expression Analysis.- Part IV: Applications.- Applications for Visual Analysis of People.- Image and Video-based Biometrics.- Security and Surveillance.- Predicting Pedestrian Trajectories.- Human Computer Interaction.- Social Signal Processing: The Research Agenda.- Sign Language Recognition.- Sports TV Applications of Computer Vision.- Multi-view 4D Reconstruction of Human Action for Entertainment.- Vision for Driver Assistance: Looking at People in a Vehicle.