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For the Inventor, By the Inventor

Liberty Grove, Australia

Ashley John Partis

USPTO Granted Patents = 11 

Average Co-Inventor Count = 2.4

ph-index = 3

Forward Citations = 46(Granted Patents)


Location History:

  • Rozelle, AU (2010 - 2014)
  • New South Wales, AU (2017)
  • Liberty Grove, AU (2018)
  • Camperdown, AU (2014 - 2019)

Company Filing History:

goldMedal11 out of 90,631 
 
Canon Kabushiki Kaisha
 patents

Years Active: 2010-2019

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11 patents (USPTO):Explore Patents
1. 10181088 - Method for video object detection (2019-01-15),
2. 10096117 - Video segmentation method (2018-10-09),
3. 9922425 - Video segmentation method (2018-03-20),
4. 9846810 - Method, system and apparatus for tracking objects of a scene (2017-12-19),
5. 9609233 - Method and system for luminance adjustment of images in an image sequence (2017-03-28),
6. 8837823 - Foreground background separation in a scene with unstable textures (2014-09-16),
7. 8837781 - Video object fragmentation detection and management (2014-09-16),
8. 8611590 - Video object fragmentation detection and management (2013-12-17),
9. 8316431 - Concurrent IPsec processing system and method (2012-11-20),
10. 8018928 - Modular approach to the TCP/IPv6 hardware implementation (2011-09-13),
11. 7672694 - Low power chip architecture (2010-03-02),

Title: Innovations of Ashley John Partis

Introduction

Ashley John Partis is an accomplished inventor based in Liberty Grove, Australia. She has made significant contributions to the field of video object detection, holding a total of 11 patents. Her work focuses on advanced methods for classifying visual elements in images and video frames.

Latest Patents

Among her latest patents is a method for video object detection. This innovative system performs foreground/background separation on an input image by identifying a corresponding model visual element in a scene model. The method selects an element model based on a visual distance criterion and classifies the input visual element accordingly. Another notable patent is a video segmentation method that classifies visual elements in video frames as either foreground or background. This method utilizes a scene model with multiple modes and involves determining blob boundary characteristics to enhance classification accuracy.

Career Highlights

Ashley is currently employed at Canon Kabushiki Kaisha, where she continues to develop her groundbreaking technologies. Her expertise in video processing and object detection has positioned her as a leader in her field.

Collaborations

Ashley has collaborated with notable colleagues, including Amit Kumar Gupta and David Kenji See, to further advance her research and innovations.

Conclusion

Ashley John Partis is a pioneering inventor whose work in video object detection has led to significant advancements in the field. Her contributions continue to shape the future of visual technology.

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