Real-time Object Detection in Images or Signals

Inventors at UCSD have discovered a new and robust method for detecting objects in images, video streams, or signal streams. Many current object recognition methods require numerous training examples to be used to improve system performance. The current method does not have such training size limitations and can thus also be used for the design of real-time object/signal detectors in applications with limited training size availability

Case No: SD2007-265

Inquiries To:  invent@ucsd.edu