1 / 7

Sensor Network and Smart Environment Research (SeNSER)

Sensor Network and Smart Environment Research (SeNSER). Manohar Mareboyana Bo Yang. The Laboratory Hardware. Sensor Network Configuration. Central Control Station. Internet. Actuator/MBS. User Interface. Wireless Sensor nodes. User. Sensor/Actuator Field.

dawn
Download Presentation

Sensor Network and Smart Environment Research (SeNSER)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Sensor Network and Smart Environment Research (SeNSER) Manohar Mareboyana Bo Yang

  2. The Laboratory Hardware

  3. Sensor Network Configuration Central Control Station Internet Actuator/MBS User Interface Wireless Sensor nodes User Sensor/Actuator Field Figure 1: A Wireless System configuration

  4. A Web-Based Sensor/Actuator Network • Temperature Sensors • Motion Sensors • Video Cameras

  5. Research Projects • Video Transmission over wireless network • QoS-Aware image/video caching in ad hoc networks for efficient query processing • Semantic-Aware data caching for search and retrieval • Anomaly Detection in Video Stream • Moving Object Tracking and recognition • Using Gait Analysis

  6. Moving Object Detection • java Bsub

  7. Intellectual Merit • Video/Image Transmission • Data centric collection of the image/video data using mobile base station • QoS consideration using variable resolution image/video transmission • QoS-Aware image/video caching in ad hoc networks • Data caching for efficient content-based retrieval of video in real-time • Anomaly Detection in video stream • Dynamic background modeling • Knn-distance metric for anomaly detection • Moving object detection and recognition using real-time Gait Analysis

More Related