SYSTEMS AND METHODS FOR TRACKING HUMAN HANDS BY PERFORMING PARTS BASED TEMPLATE MATCHING USING IMAGES FROM MULTIPLE VIEWPOINTS
Systems and methods for tracking human hands by performing parts based template matching using images captured from multiple viewpoints are described. One embodiment includes a processor, a reference camera, an alternate view camera, and memory containing: a hand tracking application; and a pluralit...
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| creator | MURALI GIRIDHAR MAO TERESA PASQUALOTTO GIULIANO HUMMEL BRITTA STOPPA MICHELE DAL MUTTO CARLO |
| description | Systems and methods for tracking human hands by performing parts based template matching using images captured from multiple viewpoints are described. One embodiment includes a processor, a reference camera, an alternate view camera, and memory containing: a hand tracking application; and a plurality of edge feature templates that are rotated and scaled versions of a finger template that includes an edge features template. In addition, the hand tracking application configures the processor to: detect at least one candidate finger in a reference frame, where each candidate finger is a grouping of pixels identified by searching the reference frame for a grouping of pixels that have image gradient orientations that match one of the plurality of edge feature templates; and verify the correct detection of a candidate finger in the reference frame by locating a grouping of pixels in an alternate view frame that correspond to the candidate finger. |
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One embodiment includes a processor, a reference camera, an alternate view camera, and memory containing: a hand tracking application; and a plurality of edge feature templates that are rotated and scaled versions of a finger template that includes an edge features template. In addition, the hand tracking application configures the processor to: detect at least one candidate finger in a reference frame, where each candidate finger is a grouping of pixels identified by searching the reference frame for a grouping of pixels that have image gradient orientations that match one of the plurality of edge feature templates; and verify the correct detection of a candidate finger in the reference frame by locating a grouping of pixels in an alternate view frame that correspond to the candidate finger.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2013</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20131226&DB=EPODOC&CC=US&NR=2013343610A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20131226&DB=EPODOC&CC=US&NR=2013343610A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MURALI GIRIDHAR</creatorcontrib><creatorcontrib>MAO TERESA</creatorcontrib><creatorcontrib>PASQUALOTTO GIULIANO</creatorcontrib><creatorcontrib>HUMMEL BRITTA</creatorcontrib><creatorcontrib>STOPPA MICHELE</creatorcontrib><creatorcontrib>DAL MUTTO CARLO</creatorcontrib><title>SYSTEMS AND METHODS FOR TRACKING HUMAN HANDS BY PERFORMING PARTS BASED TEMPLATE MATCHING USING IMAGES FROM MULTIPLE VIEWPOINTS</title><description>Systems and methods for tracking human hands by performing parts based template matching using images captured from multiple viewpoints are described. One embodiment includes a processor, a reference camera, an alternate view camera, and memory containing: a hand tracking application; and a plurality of edge feature templates that are rotated and scaled versions of a finger template that includes an edge features template. In addition, the hand tracking application configures the processor to: detect at least one candidate finger in a reference frame, where each candidate finger is a grouping of pixels identified by searching the reference frame for a grouping of pixels that have image gradient orientations that match one of the plurality of edge feature templates; and verify the correct detection of a candidate finger in the reference frame by locating a grouping of pixels in an alternate view frame that correspond to the candidate finger.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HANDLING RECORD CARRIERS</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>2013</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjMEKwjAQRHvxIOo_LHgWWiPe13bbBJs2ZBOlp1IknkQL9ey3m4If4GUG5g1vmXy4Y0eaAZsCNDnZFgxla8FZzM-qqUB6jQ3IyBlOHRiyEeuZGLQubshUQHSYGh2BRpfLmXqeU2msKBptq0H72ilTE1wUXU2rGsfrZHEfHlPY_HqVbEuKgl0YX32YxuEWnuHde96nmRAHccxSzMR_ry_8kzy_</recordid><startdate>20131226</startdate><enddate>20131226</enddate><creator>MURALI GIRIDHAR</creator><creator>MAO TERESA</creator><creator>PASQUALOTTO GIULIANO</creator><creator>HUMMEL BRITTA</creator><creator>STOPPA MICHELE</creator><creator>DAL MUTTO CARLO</creator><scope>EVB</scope></search><sort><creationdate>20131226</creationdate><title>SYSTEMS AND METHODS FOR TRACKING HUMAN HANDS BY PERFORMING PARTS BASED TEMPLATE MATCHING USING IMAGES FROM MULTIPLE VIEWPOINTS</title><author>MURALI GIRIDHAR ; MAO TERESA ; PASQUALOTTO GIULIANO ; HUMMEL BRITTA ; STOPPA MICHELE ; DAL MUTTO CARLO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2013343610A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2013</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>MURALI GIRIDHAR</creatorcontrib><creatorcontrib>MAO TERESA</creatorcontrib><creatorcontrib>PASQUALOTTO GIULIANO</creatorcontrib><creatorcontrib>HUMMEL BRITTA</creatorcontrib><creatorcontrib>STOPPA MICHELE</creatorcontrib><creatorcontrib>DAL MUTTO CARLO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MURALI GIRIDHAR</au><au>MAO TERESA</au><au>PASQUALOTTO GIULIANO</au><au>HUMMEL BRITTA</au><au>STOPPA MICHELE</au><au>DAL MUTTO CARLO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SYSTEMS AND METHODS FOR TRACKING HUMAN HANDS BY PERFORMING PARTS BASED TEMPLATE MATCHING USING IMAGES FROM MULTIPLE VIEWPOINTS</title><date>2013-12-26</date><risdate>2013</risdate><abstract>Systems and methods for tracking human hands by performing parts based template matching using images captured from multiple viewpoints are described. One embodiment includes a processor, a reference camera, an alternate view camera, and memory containing: a hand tracking application; and a plurality of edge feature templates that are rotated and scaled versions of a finger template that includes an edge features template. In addition, the hand tracking application configures the processor to: detect at least one candidate finger in a reference frame, where each candidate finger is a grouping of pixels identified by searching the reference frame for a grouping of pixels that have image gradient orientations that match one of the plurality of edge feature templates; and verify the correct detection of a candidate finger in the reference frame by locating a grouping of pixels in an alternate view frame that correspond to the candidate finger.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | SYSTEMS AND METHODS FOR TRACKING HUMAN HANDS BY PERFORMING PARTS BASED TEMPLATE MATCHING USING IMAGES FROM MULTIPLE VIEWPOINTS |
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