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Title: US7095786: Object tracking using adaptive block-size matching along object boundary and frame-skipping when object motion is low
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Country: US United States of America

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21 pages

 
Inventor: Schonfeld, Dan; Glenview, IL, United States of America
Hariharakrishnan, Karthik; Chicago, IL, United States of America
Raffy, Philippe; Sunnyvale, CA, United States of America
Yassa, Fathy; Soquel, CA, United States of America

Assignee: Neo Magic Corp., Santa Clara, CA, United States of America
other patents from NEOMAGIC CORP. (719584) (approx. 58)
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Published / Filed: 2006-08-22 / 2003-01-11

Application Number: US2003000248348

IPC Code: Advanced: H04N 7/12;
Core: more...

ECLA Code: G06T7/20A; H04N7/26J; H04N7/26M2; H04N7/50;

U.S. Class: Current: 375/240.16; 375/E07.076; 375/E07.105; 375/E07.211; 382/236;
Original: 375/240.16; 382/236;

Field of Search: 375/240.08,240.09,240.24,240.16 382/236,300,190,243,242,256,234

Priority Number:
2003-01-11  US2003000248348

Abstract:     An object in a video sequence of frames is tracked by object masks generated for frames in the sequence. Macroblocks are motion compensated. Blocks matching entirely within a prior-frame object mask are used to generate an average object motion. When the average motion is below a motion threshold, frames are skipped at larger intervals, but more frequent frames are processed when high motion occurs. When the macroblock best matches a prior-frame block that has the object's boundary passing through the block, the macroblock is uncertain and is sub-divided into smaller sub-blocks that are again motion compensated. Sub-blocks matching blocks within the object mask in the base frame are added to the new object mask for the current frame while sub-blocks matching a block containing the object boundary are uncertain and can again be sub-divided to further refine the object boundary. Frame skipping and adaptive-size blocks on the object boundary reduce computational load.

Attorney, Agent or Firm: Auvinen, Stuart T. ;

Primary / Asst. Examiners: Philippe, Gims;

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First Claim:
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    1. An object tracker comprising:

a motion estimator, receiving an object location in a base frame, for generating motion vectors representing displacements from regions in a current frame to best-matching regions in the base frame;

a motion averager, receiving motion vectors from the motion estimator for regions that match best-matching regions that are within the object location in the base frame, for generating an average object motion from motion vectors for regions matching best-matching regions that are within the object location but excluding motion vectors for regions matching best-matching regions that are outside the object location or not entirely within the object location when generating the average object motion;

a motion thresholder, receiving the average object motion from the motion averager, for comparing the average object motion to a motion threshold and adjusting a frame skipping parameter to skip frames between the base frame and the current frame when the average object motion exceeds the motion threshold, but not skipping frames and processing sequential frames when the average object motion is below the motion threshold;

an adaptive region-size motion estimator, for sub-dividing regions in the base frame into sub-regions for regions matching best-matching regions that are partially within the object location, for generating motion vectors representing displacements from sub-regions in the current frame to best-matching sub-regions in the base frame; and

an object-location generator, coupled to the adaptive region-size motion estimator, for generating a current object location for the current frame by including regions matching best-matching regions that are within the object location and including sub-regions matching best-matching sub-regions that are within the object location,


    whereby frame skipping is modulated based on motion of regions matching within the object location and whereby adaptive region-size matching along a boundary of the object location in the base frame refines the object location in the current frame.


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Forward References: Show 3 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (3)   |   Backward references (18)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 11pp US5635986  1997-06 Kim  Daewoo Electronics Co., Ltd Method for encoding a contour of an object in a video signal by using a contour motion estimation technique
Buy PDF- 12pp US5936671  1999-08 Van Beek et al.  Sharp Laboratories of America, Inc. Object-based video processing using forward-tracking 2-D mesh layers
Buy PDF- 75pp US5940538  1999-08 Spiegel et al.   Apparatus and methods for object border tracking
Buy PDF- 12pp US5946043  1999-08 Lee et al.  Microsoft Corporation Video coding using adaptive coding of block parameters for coded/uncoded blocks
Buy PDF- 68pp US6075875  2000-06 Gu  Microsoft Corporation Segmentation of image features using hierarchical analysis of multi-valued image data and weighted averaging of segmentation results
Buy PDF- 8pp US6137913  2000-10 Kwak et al.  Electronics and Telecommunications Research Institute Method for segmenting moving picture objects by contour tracking
Buy PDF- 23pp US6169573  2001-01 Sampath-Kumar et al.  HOTV, Inc. Hypervideo system and method with object tracking in a compressed digital video environment
Buy PDF- 15pp US6192156  2001-02 Moorby  Synapix, Inc. Feature tracking using a dense feature array
Buy PDF- 10pp US6236680  2001-05 Chun et al.  Samsung Electronics Electronics Co., Ltd. Encoding and decoding system of motion image containing arbitrary object
Buy PDF- 24pp US6272253  2001-08 Bannon et al.  Texas Instruments Incorporated Content-based video compression
Buy PDF- 33pp US6298170  2001-10 Morita  Fujitsu Limited Image tracking apparatus for tracking an image within a local region to continuously track a moving object
Buy PDF- 48pp US6335985  2002-01 Sambonsugi et al.  Kabushiki Kaisha Toshiba Object extraction apparatus
Buy PDF- 8pp US6337917  2002-01 Onural et al.   Rule-based moving object segmentation
Buy PDF- 23pp US6389168  2002-05 Altunbasak et al.  Hewlett-Packard Company Object-based parsing and indexing of compressed video streams
Buy PDF- 33pp US6393054  2002-05 Altunbasak  Hewlett-Packard Company System and method for automatically detecting shot boundary and key frame from a compressed video data
Buy PDF- 16pp US6400846  2002-06 Lin et al.  Mitsubishi Electric Research Laboratories, Inc. Method for ordering image spaces to search for object surfaces
Buy PDF- 21pp US6424370  2002-07 Courtney  Texas Instruments Incorporated Motion based event detection system and method
Buy PDF- 18pp US6625333  2003-09 Wang et al.  Her Majesty the Queen in Right of Canada as represented by the Minister of Industry through Communications Research Centre Method for temporal interpolation of an image sequence using object-based image analysis
       
Foreign References: None

Other References:
  • D. Schonfeld and D. Lelescu, “VORTEX: Video retrieval and tracking from compressed multimedia databases-multiple object tracking from MPEG-2 bitstream,” Journal of Visual Communications and Image Representation, Special Issue on Multimedia Database Management, vol. 11, pp. 154-182, 2000 (50pp). (29 pages) [ISI abstract]


  • Continuity Data:
    Application Number Filed Notes

    US2002000249577   is a continuation in part of
    >US2003000248348<  2003-01-11   (pending) [presumed granted]
         US7095786 issued 2006-08-22   Object tracking using adaptive block-size matching along object boundary and frame-skipping when object motion is low


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