Weiming Hu

Title: Weiming Hu: Innovator in Crowd Counting Technology

Introduction

Weiming Hu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of crowd counting systems through his innovative methods. His work focuses on enhancing the accuracy of crowd density mapping, which is crucial for various applications in public safety and urban planning.

Latest Patents

Weiming Hu holds a patent titled "Method for generating training data on basis of deformable Gaussian kernel in population counting system." This patent discloses a method for generating training data based on a deformable Gaussian kernel in a crowd counting system. The method includes several steps, such as finding a set of overlapping Gaussian kernels from training data, stretching and rotating an occluded Gaussian kernel, adjusting its center point coordinate, and determining any unselected Gaussian kernels in the training data. The result is a crowd density map with enhanced feature similarity to actual images, improving the learning process for convolutional neural networks and increasing the accuracy of crowd counting systems.

Career Highlights

Weiming Hu is associated with Crsc Communication & Information Group Company Ltd., where he applies his expertise in developing advanced technologies. His work has been instrumental in pushing the boundaries of what is possible in crowd counting and related fields.

Collaborations

Some of his notable coworkers include Yang Liu and Guodong Ni, who contribute to the innovative environment at Crsc Communication & Information Group Company Ltd. Their collaborative efforts enhance the development of cutting-edge solutions in crowd counting technology.

Conclusion

Weiming Hu's contributions to the field of crowd counting technology through his innovative patent demonstrate his commitment to improving public safety and urban management. His work continues to influence advancements in this critical area.