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» Learning Patterns of Activity Using Real-Time Tracking
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AVSS
2006
IEEE
14 years 1 months ago
People Tracking Using a Time-of-Flight Depth Sensor
Visually track several moving persons engaged in close interactions is known to be a very hard problem, though 3-D approaches based on stereo vision and plan-view maps offer much ...
Alessandro Bevilacqua, Luigi di Stefano, Pietro Az...
BMVC
2010
13 years 5 months ago
Manifold Learning for ToF-based Human Body Tracking and Activity Recognition
In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
Loren Arthur Schwarz, Diana Mateus, Victor Castane...
CVPR
2011
IEEE
12 years 11 months ago
Earth Mover’s Prototypes: a Convex Learning Approach for Discovering Activity Patterns in Dynamic Scenes
We present a novel approach for automatically discovering spatio-temporal patterns in complex dynamic scenes. Similarly to recent non-object centric methods, we use low level visu...
Elisa Ricci, Gloria Zen
CVPR
2012
IEEE
11 years 10 months ago
Multi-target tracking by online learning of non-linear motion patterns and robust appearance models
We describe an online approach to learn non-linear motion patterns and robust appearance models for multi-target tracking in a tracklet association framework. Unlike most previous...
Bo Yang, Ram Nevatia
PERVASIVE
2010
Springer
13 years 9 months ago
Studying the Use and Utility of an Indoor Location Tracking System for Non-experts
Abstract. Indoor location tracking systems have been a major focus of ubiquitous computing research, and they have much promise to help in collecting objective, real time data for ...
Shwetak N. Patel, Julie A. Kientz, Sidhant Gupta