Chien-Min Huang

7933333, Apr 26, 2011

Jun 30, 2005

11/172403

Chien-Min Huang - Clovis CA, US
Farzin Aghdasi - Clovis CA, US

Pelco, Inc - Clovis CA

H04N 7/12
G06K 9/00

37524016, 382103

A method of detecting motion in a video image comprising the steps of connecting an MPEG compliant encoder to a video source that provides video images, compressing the video data in the video images and generating a compressed video image bit stream having a motion compensation component, receiving the generated compressed video image bit stream, comparing the motion compensation component to a threshold value, and indicating that motion has occurred if the motion compensation component is greater than the threshold value.

8269844, Sep 18, 2012

Mar 26, 2008

12/527619

Chien-Min Huang - Clovis CA, US
Farzin Aghdasi - Clovis CA, US

Pelco, Inc. - Clovis CA

H04N 5/228
H04N 7/18

3482086, 348155, 3482081, 3482084

A method of improving a video image by removing the effects of camera vibration comprising the steps of, obtaining a reference frame, receiving an incoming frame, determining the frame translation vector for the incoming frame, translating the incoming frame to generate a realigned frame, performing low pass filtering in the spatial domain on pixels in the realigned frame, performing low pass filtering in the spatial domain on pixels in the reference frame, determining the absolute difference between the filtered pixels in the reference frame and the filtered pixels in the realigned frame, performing low pass filtering in the temporal domain on the pixels in the realigned frame to generate the output frame if the absolute difference is less than a predetermined threshold, and providing the realigned frame as the output frame if the absolute difference is greater than the predetermined threshold.

20120154599, Jun 21, 2012

Dec 17, 2010

12/971561

Chien-Min Huang - Clovis CA, US

Pelco Inc. - Clovis CA

H04N 5/225

348169, 348E05055

Systems, methods, and devices are disclosed for determining a zooming factor for a camera in a pan, tilt, and zoom (PTZ) camera tracking system to enable a camera to keep an object at a constant size within the camera's viewing area, despite changes in the object's distance from the camera. This provides a complement to a camera's pan and tilt tracking of the moving object. For example, a PTZ camera tracking system that determines an object to track, utilizes information regarding images of the object of interest are used to determine a zooming factor (or other zooming value) for a camera in the PTZ camera tracking system. This information includes variables such as tilt angles of one or more cameras and a reference zooming factor.

20120169923, Jul 5, 2012

Dec 30, 2010

12/982602

Greg Millar - Coarsegold CA, US
Farzin Aghdasi - Clovis CA, US
Lei Wang - Clovis CA, US
Chien-Min Huang - Clovis CA, US

Pelco Inc. - Clovis CA

H04N 7/12

3483991, 348E07045

Techniques are discussed for providing mechanisms for coding and transmitting high definition video, e.g., over low bandwidth connections. In particular, foreground-objects are identified as distinct from the background of a scene represented in a plurality of video frames received from a video source, such as a camera. In identifying foreground-objects, semantically significant and semantically insignificant movement (e.g., repetitive versus non-repetitive movement) is differentiated. Processing of the foreground-objects and background proceed at different update rates or frequencies.

20130155290, Jun 20, 2013

Dec 19, 2011

13/330511

Chien-Min Huang - Clovis CA, US

PELCO, INC. - Clovis CA

H04N 5/262

3482401, 348E05055

The methods and systems described herein are directed to image processing. More specifically, the image processing described herein may include centering an object in the field of view during zooming. The image processing methods and systems may further include setting a magnification factor, positioning the camera in a first field of view capturing a first image, setting a second magnification factor, and capturing a second image. Additionally, the described techniques may include altering the first image to determine an offset and adjusting the camera based on the offset.

20130162838, Jun 27, 2013

Dec 22, 2011

13/335442

Chien-Min Huang - Clovis CA, US
Wei Su - Clovis CA, US
Frank Vaughn - Pleasanton CA, US

Pelco, Inc. - Clovis CA

H04N 5/225
G06K 9/00

348169, 382103, 348E05024

Systems and methods for transformations between image and map coordinates, such as those associated with a video surveillance system, are described herein. An example of a method described herein includes selecting a reference point within the image with known image coordinates and map coordinates, computing at least one transformation parameter with respect to a location and a height of the camera and the reference point, detecting a target location to be tracked within the image, determining image coordinates of the target location, and computing map coordinates of the target location based on the image coordinates of the target location and the at least one transformation parameter.

20140253783, Sep 11, 2014

Oct 10, 2012

14/349257

- Clovis CA, US
Chien-Min Huang - Clovis CA, US
David George Wright - Clovis CA, US
Brian Chi Yeong Jeong - Clovis CA, US
John E. Haag - Clovis CA, US
Jeremy A. Watson - Fresno CA, US

H04N 5/232

348347

Systems and methods for focus control in a pan-tilt-zoom (PTZ) camera system are described herein. An example of a method described herein includes identifying a set of trace curves associated with the camera system, each of the trace curves specifying relationships between focus lens positions and zoom lens positions for a corresponding camera position, selecting a trace curve using the set of trace curves and one or more of pan angle, tilt angle or installation height of the camera system, and identifying a focus lens position for a current zooming factor of the camera system based on the selected trace curve.