Company Filing History:
Years Active: 2008
Title: Khurram Shafique: Innovator in Tracking and Surveillance Technologies
Introduction
Khurram Shafique is a notable inventor based in Orlando, FL (US). He has made significant contributions to the field of tracking and surveillance technologies. His innovative approach focuses on enhancing the capabilities of monitoring systems through advanced algorithms and methodologies.
Latest Patents
Khurram Shafique holds a patent for his invention titled "Tracking across multiple cameras with disjoint views." This invention addresses the challenges of tracking and surveillance by providing methods and systems for monitoring objects that pass in front of non-overlapping cameras. The technology is designed to find corresponding tracks from different cameras and determine which object made the tracks, allowing for seamless tracking from camera to camera. The invention employs an algorithm that learns inter-camera spatial temporal probability using Parzen windows. It also learns inter-camera appearance probabilities by analyzing the distribution of Bhattacharyya distances between appearance models. The system establishes correspondences based on the Maximum A Posteriori (MAP) framework, which combines both spatial temporal and appearance probabilities. Additionally, it updates learned probabilities throughout the system's lifetime.
Career Highlights
Khurram Shafique is affiliated with the University of Central Florida Research Foundation Inc., where he continues to develop and refine his innovative technologies. His work has garnered attention for its practical applications in various surveillance scenarios.
Collaborations
Khurram has collaborated with notable colleagues such as Mubarak Shah and Omar Javed. Their combined expertise contributes to the advancement of research in tracking and surveillance systems.
Conclusion
Khurram Shafique is a pioneering inventor whose work in tracking technologies is shaping the future of surveillance systems. His innovative patent demonstrates a commitment to enhancing monitoring capabilities through advanced algorithms and methodologies.