Estimating motion of an event captured using a digital video camera

US9256789B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9256789-B2
Application numberUS-5332808-A
CountryUS
Kind codeB2
Filing dateMar 21, 2008
Priority dateMar 21, 2008
Publication dateFeb 9, 2016
Grant dateFeb 9, 2016

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Abstract

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An event aware video system (EAVS) is to capture video frames during a first time period and process events in the video frames before transferring the processed data to a central computing system. The EAVS may establish a present no-event frame from the video frames by marking the last frame as the present no-event frame if the difference between adjacent pair of video frames is less than a threshold value. The EAVS may establish an event frame, wherein a present frame captured after establishing the no-event frame is marked as the event frame if the difference between the present frame and a previous frame is greater than the threshold value. The EAVS may provide event information including motion vectors to a central computing system by performing one-dimensional search on a moving object of the event frame, wherein the motion vectors may represent displacement of objects moving within the moving object.

First claim

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What is claimed is: 1. A method in a video capturing device comprising: capturing a first plurality of video frames during a first time period; establishing a present no-event frame from the first plurality of video frames, wherein a last frame of the first plurality of video frames is marked as the present no-event frame if the difference between adjacent pair of frames of the first plurality of video frames is less than a threshold value; establishing an event frame, wherein a present frame captured after establishing the no-event frame is marked as the event frame if the difference between the present frame and a previous frame captured prior to the present frame is greater than the threshold value; generating event information including motion vectors, wherein the motion vectors represent displacement of a plurality of objects moving within a moving object, wherein the motion vectors are generated by performing one-dimensional search on a moving object of the event frame; and generating a real motion vector of a moving object in the event frame, wherein generating the real motion vector comprises: labeling the moving object; pairing the moving object in the event frame with a moving object in the previous frame; resizing a boundary of the moving object in the event frame to match a boundary of the moving object in the previous frame; and computing the co-ordinates of the center of gravity of the boundary of the moving object in the event frame and the previous frame. 2. The method of claim 1 , wherein generating the motion vectors comprise rejecting the present frame captured after the first time period if the difference between the present frame and the no-event frame is less than the threshold value. 3. The method of claim 1 , wherein generating the motion vectors comprises removing background information of the event frame before sending the event information to the central computing system. 4. The method of claim 3 , wherein removing the background comprises: identifying an area that excludes the event in the event frame; and assigning a first color value to the pixels of the area, wherein assigning the first color to the pixels of the area removes the background information in the event frame. 5. The method of claim 1 further comprises computing motion error of the moving object including: generating an estimated motion vector by displacing the moving object in the previous frame using the motion vector; and computing the difference between the real moving object image and the motion estimated moving object image. 6. The method of claim 5 further comprises: performing motion refining if the motion error is greater than an allowable error threshold; and performing motion error coding if the motion error is lesser than the allowable error threshold. 7. A method in a video capturing device comprising: capturing a first plurality of video frames during a first time period; establishing a present no-event frame from the first plurality of video frames, wherein a last frame of the first plurality of video frames is marked as the present no-event frame if the difference between adjacent pair of frames of the first plurality of video frames is less than a threshold value; establishing an event frame, wherein a present frame captured after establishing the no-event frame is marked as the event frame if the difference between the present frame and a previous frame captured prior to the present frame is greater than the threshold value; and generating event information including motion vectors, wherein the motion vectors represent displacement of a plurality of objects moving within a moving object, wherein the motion vectors are generated by performing one-dimensional search on a moving object of the event frame; wherein generating each of the motion vectors comprises dividing the boundary of the moving object in the event frame into a plurality of sub-rectangles, and determining motion of the object within the plurality of sub-rectangles. 8. The method of claim 7 , wherein generating the motion vectors comprises identifying border sub-rectangles of the plurality of sub-rectangles, wherein a sub-rectangle of the plurality of sub-rectangles is identified as a border sub-rectangle if the sub-rectangle includes at least a first quantity of background pixels and at least a second quantity of object pixels. 9. The method of claim 7 , wherein generating the motion vectors comprise designating a pivotal border pixel for the border sub-rectangles, wherein a pixel nearest to the center of the border sub-rectangle is designated as the pivotal border pixel. 10. The method of claim 9 , wherein generating the motion vectors comprise: determining motion vectors for the border sub-rectangles by comparing the border sub-rectangle of the event frame led by the pivotal border pixel with the border of the previous frame; and determining motion vectors for non-border sub-rectangles using the motion vectors of the border sub-rectangles, wherein the sub-rectangles other than the border sub-rectangles of the plurality of sub-rectangles is identified as non-border sub-rectangles. 11. An apparatus comprising: an image capturing unit to capture a first plurality of video frames during a first time period; an event aware video system enabled controller coupled to the image capturing unit, wherein the event aware video system enabled controller is to: establish a present no-event frame from the first plurality of video frames, wherein a last frame of the first plurality of video frames is marked as the present no-event frame if the difference between adjacent pair of frames of the first plurality of video frames is less than a threshold value; and establish an event frame, wherein a present frame captured after establishing the no-event frame is marked as the event frame if the difference between the present frame and a previous frame captured prior to the present frame is greater than the threshold value; and generate event information including motion vectors, wherein the motion vectors represent displacement of a plurality of objects moving within a moving object, wherein each of the motion vectors is generated by performing one-dimensional search on a moving object of the event frame; and to generate a real motion vector of a moving object in the event frame, the event aware video system enabled controller is to: label the moving object, pair the moving object in the event frame with a moving object in the previous frame, resize a boundary of the moving object in the event frame to match a boundary of the moving object in the previous frame, and compute the co-ordinates of the center of gravity of the boundary of the moving object in the event frame and the previous frame. 12. The apparatus of claim 11 , wherein the event aware video system enabled controller is to reject the present frame captured after the first time period if the difference between the present frame and the no-event frame is less than the threshold value. 13. The apparatus of claim 11 , wherein the event aware video system enabled controller is to remove background information of the event frame before sending the event information to the central computing system. 14. The apparatus of claim 13 , wherein the event aware video system enabled controller is to: identify an area that excludes the event in the event frame; and assign a first color value to the pixels of the area, wherein assigning the first color to the pixels of the area removes the background information in the event frame. 15. The apparatus of claim 11 , wherei

Assignees

Inventors

Classifications

  • Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position · CPC title

  • Physics · mapped topic

  • Physics · mapped topic

  • Video; Image sequence · CPC title

  • Physics · mapped topic

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What does patent US9256789B2 cover?
An event aware video system (EAVS) is to capture video frames during a first time period and process events in the video frames before transferring the processed data to a central computing system. The EAVS may establish a present no-event frame from the video frames by marking the last frame as the present no-event frame if the difference between adjacent pair of video frames is less than a th…
Who is the assignee on this patent?
Adiletta Matthew J, Yang Chengda, Intel Corp
What technology area does this patent fall under?
Primary CPC classification G08B13/19608. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 09 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).