Beijing, China

Shaopeng Tang

USPTO Granted Patents = 5 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2015-2023

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5 patents (USPTO):

Title: Innovations of Shaopeng Tang

Introduction

Shaopeng Tang is a notable inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in video image processing. With a total of 5 patents to his name, his work has garnered attention for its innovative approaches.

Latest Patents

One of Shaopeng Tang's latest patents is focused on the recognition of activity in a video image sequence using depth information. This patent outlines techniques for recognizing activities within a sequence of video frames that incorporate depth data. The methodology involves segmenting each image frame into multiple windows and generating spatio-temporal image cells from groupings of these windows. Additionally, it includes calculating a four-dimensional (4D) optical flow vector for each pixel in the image cells and deriving a three-dimensional (3D) angular representation from these optical flow vectors. The method further generates classification features based on histograms of the 3D angular representations, which are then utilized by a recognition classifier to identify the type of activity depicted in the video sequence.

Career Highlights

Throughout his career, Shaopeng Tang has worked with prominent companies such as Intel Corporation and NEC (China) Co., Ltd. His experience in these organizations has contributed to his expertise in the field of technology and innovation.

Collaborations

Some of his notable coworkers include Yurong Chen and Guoyi Liu. Their collaboration has likely played a role in advancing the projects they have worked on together.

Conclusion

Shaopeng Tang's contributions to technology, particularly in video image processing, highlight his innovative spirit and dedication to advancing the field. His patents reflect a deep understanding of complex methodologies that enhance activity recognition in video sequences.

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