This inventor holds 2 USPTO granted patents. Top assignees: Siemens Corporate Research, Inc., Princeton University. Active years: 1998-1999.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 1998-1999
Title: Long-Ji Lin: Innovator in Vehicle Tracking and Object Recognition
Introduction
Long-Ji Lin is a notable inventor based in Kendall Park, NJ (US). He has made significant contributions to the fields of vehicle tracking and object recognition, holding a total of 2 patents. His innovative work has implications for various applications, particularly in enhancing the accuracy of tracking systems.
Latest Patents
One of Long-Ji Lin's latest patents is a "Method and apparatus for automatically tracking the location of vehicles." This system utilizes a visual image detector mounted on the vehicle to produce digitized strips of image data, representing successive panoramic views of the scenery as the vehicle moves along a route. The system features both a sparse tracking subsystem and a dense tracking subsystem, allowing for real-time location tracking of the vehicle. If the vehicle deviates from its route, the system can quickly switch to the sparse tracking system to search a broader area for relocation.
Another significant patent is the "Neural network for locating and recognizing a deformable object." This system is designed to automatically detect and recognize deformable objects, such as human faces, within arbitrary image scenes. It employs a probabilistic Deep Belief Neural Network (DBNN) for object detection and recognition, enhancing the ability to identify features of the object, such as the eyes, eyebrows, and nose.
Career Highlights
Long-Ji Lin has worked with prominent organizations, including Siemens Corporate Research, Inc. and Princeton University. His experience in these institutions has contributed to his expertise in developing advanced technologies in his field.
Collaborations
Some of his notable coworkers include Sun-Yuan Kung and Shang-Hung Lin. Their collaborative efforts have likely played a role in advancing the innovative projects they have worked on together.
Conclusion
Long-Ji Lin's contributions to vehicle tracking and object recognition demonstrate his innovative spirit and technical expertise. His patents reflect a commitment to enhancing technology for practical applications, making him a significant figure in the field of invention.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile