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Group Member

Dhiraj Goel
Graduate Student

Personal Homepage:  http://amp.ece.cmu.edu/people/Dhiraj/
Email: dhiraj@cmu.edu

Office: Hamerschlag Hall D-Level C8
Lab: Porter Hall B6
Phone: 412-268-4264
Fax: 412-268-3890
Mailing Address:
Department of ECE, Carnegie Mellon University,
5000 Forbes Avenue, Pittsburgh,
PA 15213-3890

[Research Interests]        [Project]      [Publications

Research Interests

Interest Areas:

Current Research Focus:

We aim to build robust and real-time pedestrian detection systems by analyzing human motion patterns. This approach has many advantages over detection by shape alone, esp. in cluttered environments.

CMUcam3 is a cheap, low powered embedded system providing vision capabilities in an easy to use environment.

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Projects

 

Detection results

Algorithms for detecting pedestrians in a video using motion patterns

Due to high intra-class variability, pedestrian detection using shape alone is a very hard problem. In this project, we aim to use human motion patterns for detecting pedestrians in a scene. Even though individuals have particular gaits, thier motion in general has inherent similarity and is invariant to clothing and appearance.

We use dense optical flow map as a measure of motion in the scene and learn a discriminative classifier using "selected" eigen vectors as features. In fact, a cascade of such classifiers is learnt which not only provides speed-up but also improves discriminative power of the classifier.

For more details, please see the Pedestrian Detection Project Page .

CMUcam3: Low cost embedded vision system

CMUcam3 is a cheap, low powered embedded system providing vision capabilities in an easy to use environment. With the help of open source libraries and example codes, it can be programmed in C for simple applications like color tracking or more complex ones like face detection.

For more details on the project, please see the CMUCam3 Project Page .

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Publications

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Advanced Multimedia Processing Lab. All rights reserved.
Revised: November 01, 2006