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Research

     

    Current projects

     
    Cognitive Agent Network

    Advanced video surveillance systems create large overheads by presenting too much information. This load creates problems in a situation where there is insufficient bandwidth and attention given to the set being processed. Over 99% of data fed into the control room is wasted. This project seeks to minimize the wireless video network throughput while maximizing the video quality with multiple resolutions on demand.[more]

    Visual Privacy

    Recent innovations have created a 3-D millimeter wavelength imaging system to be used in full-body scanners. This technology has raised privacy concerns since the scanner produces an almost naked image of the subject. This project aims at creating algorithms that blur private parts but reveal weapons. [more]

    3D Surface Analysis

    The team of AIL is developing new software to scan 200-year-old gravestones at Old St. Luke's Church in nearby Carnegie to help its Episcopal pastor identify all the names on the cemetery's tombstones.[more]

     

    Previous projects

     
    Object Detection and Tracking

    This project aims at developing a semantic object detection system for real-time video processing as the event happens, as well as afterwards. This will greatly reduce network data traffic and evidence retrieving time. Since data is presented on-demand, our solutions will preserve privacy by minimizing data emissions.[more]

    Spatio-Temporal Data Mining

    This project uses Bayesian modeling and a computer vision based object tracking algorithm to monitor the harmful algae across regions. Based on databases of historical data and current physical and biochemical conditions, we seek to base our predictions of a set of events at a particular time and location. Our goal is to incorporate this model for algae blooms with operational monitoring and prediction systems in the field.[more]

    Sound Pattern Classification

    This project aims at using sound classification in developing affordable sensing technology for monitoring physical intrusions. The goal is to classify sound patterns from natural environments, such as cars, trucks, airplanes, etc. This project has far reaching consequences for medical diagnostics and safety alert systems. [more]

    Real-Time Wireless Device Positioning System

    Growing sensor webs create problems for indoor wireless self-positioning. Real-time wireless device self-position is essential for locating and tracking wireless users. This project aims to enable an affordable 802.11 RSSI-based positioning technology and demonstrate its capability with existing facilities in the Carnegie Mellon Andrew wireless network.[more]

    Multi-Point Mobile Video Streaming For Transit Security

    This project aims at creating solutions for affordable wireless video streaming over long distances while ensuring a smooth video signal handover along the 802.11g access. This would enable technologies for distributed video network protocols and streaming.[more]

    Onboard Inverse Physics in Sensor Web

    Inverse Physics is the process of retrieving physical properties from observations. The objective of this study is to build an embedded data mining processor for onboard physical property retrieving, which would significantly reduce the cost of physical inversion for combined observations. [more]

     

 


Contact email: Yang Cai