Jie Liang

This inventor holds 19 USPTO granted patents and 4 published patent applications, primarily in Embedded Vision Systems. Top assignees: Altumview Systems Inc., Microsoft Technology Licensing, LLC. Active years: 2007-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jie Liang. Retrieved from https://idiyas.com/inventor/jie-liang-jf4bncek

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

USPTO Granted Patents = 19 (Patent Applications = 4)

% Patents Active = 94.7

Average Co-Inventor Count = 4.9

ph-index = 9

Forward Citations = 328(Granted Patents)

Location History:

Bellevue, WA (US) (2009)
Coquitlam, CA (2007 - 2023)

Company Filing History:

10 out of 14

Altumview Systems Inc.

patents

9 out of 56,318

Microsoft Technology Licensing, LLC

patents

Years Active: 2007-2025

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Areas of Expertise:

Privacy-Preserving

Human Action Recognition

Unmanned Aerial Vehicles

Visual Object Tracking

Face Recognition

Convolutional Neural Network

Obstacle Avoidance

Embedded Systems

Real-Time Processing

Age Estimation

Gender Estimation

Video Codec

19 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12260677 - Privacy-preserving human action recognition, storage, and retrieval via joint edge and cloud computing (2025-03-25),

2. 11645765 - Real-time visual object tracking for unmanned aerial vehicles (UAVs) (2023-05-09),

3. 11205274 - High-performance visual object tracking for embedded vision systems (2021-12-21),

4. 10943096 - High-quality training data preparation for high-performance face recognition systems (2021-03-09),

5. 10776939 - Obstacle avoidance system based on embedded stereo vision for unmanned aerial vehicles (2020-09-15),

6. 10558908 - Age and gender estimation using small-scale convolutional neural network (CNN) modules for embedded systems (2020-02-11),

7. 10510157 - Method and apparatus for real-time face-tracking and face-pose-selection on embedded vision systems (2019-12-17),

8. 10467458 - Joint face-detection and head-pose-angle-estimation using small-scale convolutional neural network (CNN) modules for embedded systems (2019-11-05),

9. 10360494 - Convolutional neural network (CNN) system based on resolution-limited small-scale CNN modules (2019-07-23),

10. 10268947 - Face detection using small-scale convolutional neural network (CNN) modules for embedded systems (2019-04-23),

11. 8855202 - Flexible range reduction (2014-10-07),

12. 8107531 - Signaling and repeat padding for skip frames (2012-01-31),

13. 8014450 - Flexible range reduction (2011-09-06),

14. 7924921 - Signaling coding and display options in entry point headers (2011-04-12),

15. 7782954 - Scan patterns for progressive video content (2010-08-24),

Title: Innovations and Contributions of Jie Liang in Human Motion Recognition and Object Tracking

Introduction

Jie Liang is an esteemed inventor based in Coquitlam, Canada, known for his groundbreaking contributions to the fields of human action recognition and real-time visual object tracking. With a remarkable portfolio of 19 patents, Liang's work focuses on enhancing privacy and efficiency in data management and analysis.

Latest Patents

Liang's latest patents exemplify his innovative approach:

1. **Privacy-preserving human action recognition, storage, and retrieval via joint edge and cloud computing** - This patent outlines a method and system designed to manage human motion data securely. The system processes a sequence of video images to detect individuals, extracts skeleton figures composed of key human points, and combines these to create a skeleton sequence. This unique approach preserves individual privacy by transmitting the skeleton sequence instead of actual images.

2. **Real-time visual object tracking for unmanned aerial vehicles (UAVs)** - This patent introduces techniques for local re-identification of target objects in video frames. The system uses a current search window based on predicted locations, extracts feature maps from current frames, and computes correlation maps with previously stored feature maps to effectively re-identify target objects, even when initial tracking was lost.

Career Highlights

Throughout his career, Jie Liang has had significant roles in influential companies. He has worked with **Altumview Systems Inc.** and **Microsoft Technology Licensing, LLC**, where his expertise in technology and innovation has greatly contributed to advancements in motion recognition and object tracking technologies. These experiences have helped him refine his innovative concepts and translate them into practical solutions.

Collaborations

Liang's success is also attributed to his collaborations with talented individuals such as Chih-Lung Lin and Xing Xing Wang. Together, they have pushed the boundaries of technology and made substantial contributions to their respective fields.

Conclusion

Jie Liang has established himself as a prominent inventor with a focus on privacy-aware technologies and real-time tracking systems. His 19 patents reflect a commitment to pushing innovation boundaries, making significant strides in ensuring privacy while leveraging technology in practical applications. His contributions continue to shape the future of human motion recognition and UAV tracking technologies.

Profile summary based on public USPTO records.

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

4 patents pending: