发明名称 |
METHOD AND SYSTEM FOR OBJECT DETECTION WITH MULTI-SCALE SINGLE PASS SLIDING WINDOW HOG LINEAR SVM CLASSIFIERS |
摘要 |
The invention provides methods and systems for reliably detecting objects in a received video stream from a camera. Objects are selected and a bound around selected objects is calculated and displayed. Bounded objects can be tracked. Bounding is performed by using Histogram of Oriented Gradients and linear Support Vector Machine classifiers. |
申请公布号 |
US2016026898(A1) |
申请公布日期 |
2016.01.28 |
申请号 |
US201514807622 |
申请日期 |
2015.07.23 |
申请人 |
AGT International GmbH |
发明人 |
Abad Pablo;Krauss Stephan;Hirzel Jan;Stricker Didier;Hamer Henning;Schlattmann Markus |
分类号 |
G06K9/62;G06T7/20;G06T7/60;G06K9/52;G06F17/30;G06K9/46 |
主分类号 |
G06K9/62 |
代理机构 |
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代理人 |
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主权项 |
1. A method for reliably detecting an object in a video frame comprising:
predetermining one or more trained object classifiers based on one or more samples of predetermined size; receiving a video stream from a camera; selecting an object within at least one frame of said video stream; determining a bound of said object based on said predetermined trained object classifiers; and detecting said object based on said bound. |
地址 |
Zurich CH |