Patent application number | Description | Published |
20130230211 | POSTURE ESTIMATION DEVICE AND POSTURE ESTIMATION METHOD - The present invention is a posture estimation device for estimating a wide variety of 3-dimensional postures by using a skeletal model. The posture estimation device ( | 09-05-2013 |
20130243259 | OBJECT DETECTION DEVICE AND OBJECT DETECTION METHOD - Disclosed is an object detection method capable of detecting with high precision information relating to a jointed object from image data. An object detection device ( | 09-19-2013 |
20130251203 | PERSON DETECTION DEVICE AND PERSON DETECTION METHOD - Provided is a person detection device with which it is possible to estimate a state of a part of a person from an image. A person detection device ( | 09-26-2013 |
20130259391 | STATE-OF-POSTURE ESTIMATION DEVICE AND STATE-OF-POSTURE ESTIMATION METHOD - This posture state estimation device is capable of estimating with high accuracy the posture state of an object. The posture state estimation device ( | 10-03-2013 |
20130301882 | ORIENTATION STATE ESTIMATION DEVICE AND ORIENTATION STATE ESTIMATION METHOD - Disclosed is an orientation state estimation device capable of estimating with high accuracy the orientation state of a jointed body. An orientation state estimation device ( | 11-14-2013 |
20140140596 | POSTURE ESTIMATION DEVICE, POSTURE ESTIMATION METHOD, AND POSTURE ESTIMATION PROGRAM - A posture estimation device, which is able to estimate the posture of a humanoid articulated body with high precision, has: a head estimation unit ( | 05-22-2014 |
20140163424 | POSTURE ESTIMATION DEVICE, POSTURE ESTIMATION SYSTEM, AND POSTURE ESTIMATION METHOD - Provided is a posture estimation device with which it is possible to estimate the posture of an object having joints with a high degree of precision. A posture estimation device ( | 06-12-2014 |
20140211994 | HUMAN DETECTION AND TRACKING APPARATUS, HUMAN DETECTION AND TRACKING METHOD, AND HUMAN DETECTION AND TRACKING PROGRAM - A human detection and tracking apparatus prevents errors in a size of a person and a location of body parts between actual image data and a tracking result. Human frame detecting section detects, from first image data, a human frame as a region having high possibility of presence of a human, based on human feature data representing a feature of an entire human body. Body part frame location determining section determines a body part frame in the first image data, based on part feature data illustrating a feature of a body part of the human and a part frame determined as a region having high possibility of presence of a body part of the human in second image data previous to the first image data. Body part frame location correcting section corrects, based on the human frame, a location of the part frame determined in the first image data. | 07-31-2014 |