Yongzhen Huang

Title: Yongzhen Huang: Innovator in Image Processing and Gait Recognition

Introduction

Yongzhen Huang is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of image processing and gait recognition. With a total of five patents to his name, Huang's work showcases his innovative approach to solving complex problems in technology.

Latest Patents

Huang's latest patents include an "Apparatus and method to segment object from image." This method involves receiving an input image containing an object, generating an output image corresponding to the object using an image model, and extracting the object image from the output image. Another notable patent is the "Gait recognition method based on deep learning." This method focuses on recognizing a person's identity in a video based on their gait through dual-channel convolutional neural networks. It effectively addresses the challenges of low precision in cross-view gait recognition, making it applicable in various scenarios such as security monitoring in airports and supermarkets.

Career Highlights

Throughout his career, Yongzhen Huang has worked with esteemed organizations, including the Chinese Academy of Sciences and Watrix Technology. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking research in his field.

Collaborations

Huang has collaborated with notable individuals in the industry, including Liang Wang and Tieniu Tan. These partnerships have further enhanced his research and development efforts.

Conclusion

Yongzhen Huang's innovative work in image processing and gait recognition has established him as a key figure in his field. His patents reflect his commitment to advancing technology and addressing real-world challenges.