• Publications
  • Influence
CMUcam3: An Open Programmable Embedded Vision Sensor
In this paper we present CMUcam3, a low-cost, open source, embedded computer vision platform. The CMUcam3 is the third generation of the CMUcam system and is designed to provide a flexible and easyExpand
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FireFly Mosaic: A Vision-Enabled Wireless Sensor Networking System
With the advent of CMOS cameras, it is now possible to make compact, cheap and low-power image sensors capable of on-board image processing. These embedded vision sensors provide a rich new sensingExpand
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FireFly Mosaic: A Vision-Enabled Wireless Sensor Networking System
With the advent of CMOS cameras, it is now possible to make compact, cheap and low-power image sensors capable of on-board image processing. These embedded vision sensors provide a rich new sensingExpand
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Real-Time Pedestrian Detection using Eigenflow
  • D. Goel, T. Chen
  • Computer Science
  • IEEE International Conference on Image Processing
  • 12 November 2007
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e., the eigenvectorsExpand
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Systematic floor coverage of unknown environments using rectangular regions and localization certainty
We address the problem of systematically covering all accessible floor space in an unknown environment by a mobile robot. Our approach uses rectangular regions that are swept across the environment.Expand
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MAKING THE CASE FOR A NEXT GENERATION AUTOMOTIVE ELECTRICAL SYSTEM
In this paper, the authors examine the capacity pressures affecting the current 14V electrical system. This is followed by a discussion regarding the advantages offered by the introduction of aExpand
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Pedestrian Detection Using Global-Local Motion Patterns
We propose a novel learning strategy called Global-Local Motion Pattern Classification (GLMPC) to localize pedestrian-like motion patterns in videos. Instead of modeling such patterns as a singleExpand
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Scaling Vector Field SLAM to Large Environments
Vector field SLAM is a framework for localizing a mobile robot in an unknown environment by learning the spatial distribution of continuous signals such as those emitted by WiFi or active beacons. InExpand
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Extensions to vector field SLAM for large environments
Vector field SLAM is a framework for localizing a mobile robot in an unknown environment by learning the spatial distribution of continuous signals such as those emitted by WiFi or active beacons. InExpand
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Predicting User Preference for Movies using NetFlix database
Online content and service providers deal with the problem of providing “relevant” content on a regular basis, especially due to the sheer volume of data available. This work deals with one suchExpand
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