Detecting, tracking and interacting with people in a public space

ICMI-MLMI'09 - Proceedings of the International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interfaces

Volumn , Issue , 2009, Pages 79-86

  Cheamanunkul, Sunsern ^a   Ettinger, Evan ^a   Jacobsen, Matt ^a   Lai, Patrick ^b   Freund, Yoav ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Stanford University   (United States)

Author keywords

Boosting; Machine learning; Real time hardware; Tracking

Indexed keywords

AUDIO SOURCES; AUDIO-VISUAL INTERACTIONS; FACE CLASSIFICATION; FACE DETECTION ALGORITHM; GESTURE INTERFACES; HOT SPOT; MACHINE-LEARNING; MICROPHONE ARRAYS; ON-MACHINES; PTZ CAMERA; PUBLIC SPACE; REAL-TIME HARDWARE; RECONFIGURABLE HARDWARES; SELF-CALIBRATING; USER INTERACTION; VISUAL RESPONSE;

CAMERAS; COMPUTER HARDWARE; FACE RECOGNITION; INTERACTIVE COMPUTER SYSTEMS; LEARNING SYSTEMS; RECONFIGURABLE HARDWARE; SENSORS; WEARABLE COMPUTERS;

TARGET TRACKING;

EID: 74049104832     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1647314.1647330     Document Type: Conference Paper

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