Multimodal Surveillance: an Introduction

Multimodal sensing, data processing, and system integration are still in a fast growing stage of research and development. Much work needs to be done to ensure successful real-world, large-scale surveillance applications. The collection in this book is just samples of some representative works in the field and therefore by no means to be complete. However, we hope this collection will stimulate more interests in the research and development of multimodal surveillance techniques, including the further developments of multimodal sensors, multimodal data fusion algorithms, and multimodal surveillance systems.

[1]  A. Zakhor,et al.  Chapter 15 Automatic 3 D Modeling of Cities with Multimodal Air and Ground Sensors 1 , 2003 .

[2]  Dragos Datcu,et al.  A MULTIMODAL WORKBENCH FOR AUTOMATIC SURVEILLANCE , .

[3]  Lei Zong,et al.  The ARL Multi-Modal Sensor: A research tool for target signature collection, algorithm validation, and emplacement studies , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Zhigang Zhu,et al.  LDV Sensing and Processing for Remote Hearing in a Multimodal Surveillance System , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[5]  Diego A. Socolinsky,et al.  Design and Deployment of Visible-Thermal Biometric Surveillance Systems , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[6]  Bhiksha Raj,et al.  Sensor and Data Systems, Audio-Assisted Cameras and Acoustic Doppler Sensors , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[7]  Shahram Ebadollahi,et al.  An end-to-end eChronicling System for Mobile Human Surveillance , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[8]  Larry S. Davis,et al.  Multimodal Tracking for Smart Videoconferencing and Video Surveillance , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[9]  Tieniu Tan,et al.  Fusion of Face and Palmprint for Personal Identification Based on Ordinal Features , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[10]  Li Yu,et al.  Systems issues in distributed multi-modal surveillance , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[11]  Ping Yan,et al.  Multi-Modal Biometrics Involving the Human Ear , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.