Method for estimating target size and region in image frame
The invention discloses a method for estimating target scale and region in an image frame. The invention divides the image into a plurality of blocks, makes the scale estimation of the small-scale object on the plurality of blocks, and makes the scale estimation of the large-scale object on the whol...
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| creator | SHANG LINGHUI DING LIANTAO WANG HONGYUE ZHANG ZHAOSHENG |
| description | The invention discloses a method for estimating target scale and region in an image frame. The invention divides the image into a plurality of blocks, makes the scale estimation of the small-scale object on the plurality of blocks, and makes the scale estimation of the large-scale object on the whole image. Scale estimation divides the scale space into several intervals. For each interval, it is judged whether there is an object belonging to this interval on the image. The target scale estimation is realized by multiple binary classifications. The binary classification obtains the probabilityscore of whether the corresponding scale has the target or not, which can compose a fractional vector in the scale space. The result of target scale estimation is the fractional vector of whether thecorresponding scale object exists or not in the scale space. The invention can quickly estimate the scale and the area of the object in the image frame, reduce the scale and the area of the processingrequired by the multi-scal |
| format | Patent |
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The invention divides the image into a plurality of blocks, makes the scale estimation of the small-scale object on the plurality of blocks, and makes the scale estimation of the large-scale object on the whole image. Scale estimation divides the scale space into several intervals. For each interval, it is judged whether there is an object belonging to this interval on the image. The target scale estimation is realized by multiple binary classifications. The binary classification obtains the probabilityscore of whether the corresponding scale has the target or not, which can compose a fractional vector in the scale space. The result of target scale estimation is the fractional vector of whether thecorresponding scale object exists or not in the scale space. 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The invention divides the image into a plurality of blocks, makes the scale estimation of the small-scale object on the plurality of blocks, and makes the scale estimation of the large-scale object on the whole image. Scale estimation divides the scale space into several intervals. For each interval, it is judged whether there is an object belonging to this interval on the image. The target scale estimation is realized by multiple binary classifications. The binary classification obtains the probabilityscore of whether the corresponding scale has the target or not, which can compose a fractional vector in the scale space. The result of target scale estimation is the fractional vector of whether thecorresponding scale object exists or not in the scale space. The invention can quickly estimate the scale and the area of the object in the image frame, reduce the scale and the area of the processingrequired by the multi-scal</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLD2TS3JyE9RSMsvUkgtLsnMTSzJzEtXKEksSk8tUSjOrEpVSMxLUShKTc_Mz1PIBKLcxPRUhbSixNxUHgbWtMSc4lReKM3NoOjmGuLsoZtakB-fWlyQmJyal1oS7-xnaGBpaGhuYWHmaEyMGgCFwS8P</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>SHANG LINGHUI</creator><creator>DING LIANTAO</creator><creator>WANG HONGYUE</creator><creator>ZHANG ZHAOSHENG</creator><scope>EVB</scope></search><sort><creationdate>20190101</creationdate><title>Method for estimating target size and region in image frame</title><author>SHANG LINGHUI ; DING LIANTAO ; WANG HONGYUE ; ZHANG ZHAOSHENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN109117886A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2019</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>SHANG LINGHUI</creatorcontrib><creatorcontrib>DING LIANTAO</creatorcontrib><creatorcontrib>WANG HONGYUE</creatorcontrib><creatorcontrib>ZHANG ZHAOSHENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SHANG LINGHUI</au><au>DING LIANTAO</au><au>WANG HONGYUE</au><au>ZHANG ZHAOSHENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for estimating target size and region in image frame</title><date>2019-01-01</date><risdate>2019</risdate><abstract>The invention discloses a method for estimating target scale and region in an image frame. The invention divides the image into a plurality of blocks, makes the scale estimation of the small-scale object on the plurality of blocks, and makes the scale estimation of the large-scale object on the whole image. Scale estimation divides the scale space into several intervals. For each interval, it is judged whether there is an object belonging to this interval on the image. The target scale estimation is realized by multiple binary classifications. The binary classification obtains the probabilityscore of whether the corresponding scale has the target or not, which can compose a fractional vector in the scale space. The result of target scale estimation is the fractional vector of whether thecorresponding scale object exists or not in the scale space. The invention can quickly estimate the scale and the area of the object in the image frame, reduce the scale and the area of the processingrequired by the multi-scal</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Method for estimating target size and region in image frame |
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