Company Filing History:
Years Active: 2025
Title: Huajin Tang: Innovator in Target Tracking and Object Recognition
Introduction
Huajin Tang is a prominent inventor based in Hangzhou, China. He has made significant contributions to the fields of target tracking and object recognition, holding a total of 2 patents. His innovative work focuses on advanced methods and systems that leverage spiking neural networks and event cameras.
Latest Patents
Huajin Tang's latest patents include a "Target tracking method and system of spiking neural network based on event camera." This invention provides a method for acquiring a data stream of asynchronous events in high dynamic scenes. It involves dividing the data stream into synchronous event frames and training a twin network based on a spiking neural network. The trained network is capable of tracking targets by interpolating feature mapping results to determine their positions in original images.
Another notable patent is the "Object recognition method and apparatus." This invention allows an object recognition device to obtain Address-Event Representation (AER) data of objects to be recognized. The device extracts feature maps from the AER data, which include both spatial and temporal information. The recognition process is based on these feature maps, enabling accurate identification of objects.
Career Highlights
Throughout his career, Huajin Tang has worked with leading technology companies, including Huawei Technologies Co., Limited and Zhejiang Lab. His experience in these organizations has contributed to his expertise in developing cutting-edge technologies in the field of artificial intelligence.
Collaborations
Huajin Tang has collaborated with notable colleagues such as Gang Pan and Qianhui Liu. These partnerships have fostered innovation and advancement in their respective fields.
Conclusion
Huajin Tang's contributions to target tracking and object recognition demonstrate his commitment to advancing technology through innovative solutions. His patents reflect a deep understanding of complex systems and a drive to enhance the capabilities of artificial intelligence.