发明名称 |
Vision-based object detection by part-based feature synthesis |
摘要 |
A method is provided for training and using an object classifier to identify a class object from a captured image. A plurality of still images is obtained from training data and a feature generation technique is applied to the plurality of still images for identifying candidate features from each respective image. A subset of features is selected from the candidate features using a similarity comparison technique. Identifying candidate features and selecting a subset of features is iteratively repeated a predetermined number of times for generating a trained object classifier. An image is captured from an image capture device. Features are classified in the captured image using the trained object classifier. A determination is made whether the image contains a class object based on the trained object classifier associating an identified feature in the image with the class object. |
申请公布号 |
US8724890(B2) |
申请公布日期 |
2014.05.13 |
申请号 |
US201113080717 |
申请日期 |
2011.04.06 |
申请人 |
LEVI DAN;HILLEL AHARON BAR;GM GLOBAL TECHNOLOGY OPERATIONS LLC |
发明人 |
LEVI DAN;HILLEL AHARON BAR |
分类号 |
G06K9/62 |
主分类号 |
G06K9/62 |
代理机构 |
|
代理人 |
|
主权项 |
|
地址 |
|