发明名称 |
Window Dependent Feature Regions and Strict Spatial Layout for Object Detection |
摘要 |
Systems and methods for object detection by receiving an image; segmenting the image and identifying candidate bounding boxes which may contain an object; for each candidate bounding box, dividing the box into overlapped small patches, and extracting dense features from the patches; during a training phase, applying a learning process to learn one or more discriminative classification models to classify negative boxes and positive boxes; and during an operational phase, for a new box generated from the image, applying the learned classification model to classify whether the box contains an object. |
申请公布号 |
US2014241623(A1) |
申请公布日期 |
2014.08.28 |
申请号 |
US201314108280 |
申请日期 |
2013.12.16 |
申请人 |
NEC Laboratories America, Inc. |
发明人 |
Wang Xiaoyu;Yang Ming;Lin Yuanqing;Zhu Shenghuo |
分类号 |
G06K9/62 |
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 object detection, comprising:
receiving an image; segmenting the image and identifying candidate bounding boxes which may contain an object; for each candidate bounding box, dividing the box into overlapped small patches, and extracting dense features from the patches; during a training phase, applying a learning process to learn one or more discriminative classification models to classify negative boxes and positive boxes; and during an operational phase, for a new box generated from the image, applying the learned classification model to classify whether the box contains an object. |
地址 |
Princeton NJ US |