Recent news
The MICC at the MatchMaking ICT Florence
ToscanaIN and MICC Workshop "The multisensorial design" at CNA Next Week
A coarse-to-fine approach for fast deformable object detection
Inauguration of Urban Innovation Park of the City of Florence
MICC cluster presentation
On automatic reading of handwriting (What the writing hand could tell to the reading eye)
Vehicles that Learn by Observing How We Drive: Multidisciplinary Explorations in Human-Centered Driver Assistance
Developmental Agents for Vision
Last months lectures
Scientists and researchers from around the world have regularly lectures at our Center.
On automatic reading of handwriting (What the writing hand could tell to the reading eye)
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Vehicles that Learn by Observing How We Drive: Multidisciplinary Explorations in Human-Centered Driver Assistance
Analysis and development of a learning application for people with autism spectrum disorder (ASD) according to the Applied Behavioral Analysis (ABA) method
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- Authors: Alberto Del Bimbo, Giuseppe Lisanti, Federico Pernici
- Partners: EU IST VidiVideo Project, Thales Italia
- Publications:
- A. Del Bimbo, G. Lisanti, I. Masi, and F. Pernici, "Person Detection using Temporal and Geometric Context with a Pan Tilt Zoom Camera" in Proc. of International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, 2010 - pdf
- A. Del Bimbo, G. Lisanti, I. Masi, and F. Pernici, "Device-Tagged Feature-based Localization and Mapping of Wide Areas with a PTZ Camera" in Proc. of CVPR Int.’l Workshop on Socially Intelligent Surveillance and Monitoring (SISM), San Francisco, CA, USA, 2010 - pdf
- A. Del Bimbo, G. Lisanti, and F. Pernici, "Scale Invariant 3D Multi-Person Tracking using a Base Set of Bundle Adjusted Visual Landmarks" in Proc. of ICCV Int’l Workshop on Visual Surveillance (VS), Kyoto, Japan, 2009 - pdf
- Year: 2009/2010
Scale Invariant 3D Multi-Person Tracking with a PTZ camera
This research aims to realize a videosurveillance system for real-time 3D tracking of multiple people moving over an extended area, as seen from a rotating and zooming camera. The proposed method exploits multi-view image matching techniques to obtain dynamic-calibration of the camera and track many ground targets simultaneously, by slewing the video sensor from target to target and zooming in and out as necessary.
Scale Invariant 3D Multi-Person Tracking with a PTZ camera
The image-to-world relation obtained with dynamic-calibration is further exploited to perform scale inference from focal length value, and to make robust tracking with scale invariant template matching and joint data-association techniques. We achieve an almost constant standard deviation error of less than 0.3 meters in recovering 3D trajectories of multiple moving targets, in an area of 70×15 meters.
This general framework will serve as support for the future development of a sensor resource manager component that schedules camera pan, tilt, and zoom, supports kinematic tracking, multiple target tracks association, scene context modeling, confirmatory identification, and collateral damage avoidance and in general to enhance multiple target tracking in PTZ camera networks.