摘要:
A method of detecting a feature of a vehicle in an image of a vehicle includes providing (351) a digitized image of a vehicle, providing (352) a first filter mask over a first subdomain of the image, where the filter mask is placed to detect a feature in the image, calculating (353) a function of a gradient of the image inside the first masked subdomain, and detecting (354) the presence or absence of a vehicle feature within the first masked subdomain based on the value of the gradient function.
摘要:
A system and method for detecting an occupant and head pose using stereo detectors is disclosed. In the training stage, pairs of images taken simultaneously from a pair of stereo cameras are received and components in each pair of images are identified. Features are associated with each component and a value is associated with each feature. Among them, a subset of features with best discriminative capabilities is selected and forms a strong classifier for a given component in a pair of images. In the detection stage, the strong classifiers are used in the incoming image pairs to detect components. Identified components are used to detect occupants and head pose of the occupants. Stereo detection is combined with stereo matching in a systematic way to improve occupant detection and localization.
摘要:
A system and method for detecting an occupant and head pose using stereo detectors is disclosed. In the training stage, pairs of images taken simultaneously from a pair of stereo cameras are received and components in each pair of images are identified. Features are associated with each component and a value is associated with each feature. Among them, a subset of features with best discriminative capabilities is selected and forms a strong classifier for a given component in a pair of images. In the detection stage, the strong classifiers are used in the incoming image pairs to detect components. Identified components are used to detect occupants and head pose of the occupants. Stereo detection is combined with stereo matching in a systematic way to improve occupant detection and localization.
摘要:
A method and system of real-time obstacle detection from a moving vehicle is provided. An image capturing device is calibrated (205). One or more images is captured (210) by the image capturing device. One or more real-world points is selected (215) using a tractability criterion. An image motion flow of the real-world point is determined (220). A true motion flow of the real-world point is determined (225). By comparing the image motion flow and the true motion flow, it can be determined (230) whether the real-world point is an obstacle point. Any mismatch between the image motion flows and the true motion flows are verified over time to achieve robust obstacle detection
摘要:
A method and system of real-time obstacle detection from a moving vehicle is provided. An image capturing device is calibrated (205). One or more images is captured (210) by the image capturing device. One or more real-world points is selected (215) using a tractability criterion. An image motion flow of the real-world point is determined (220). A true motion flow of the real-world point is determined (225). By comparing the image motion flow and the true motion flow, it can be determined (230) whether the real-world point is an obstacle point. Any mismatch between the image motion flows and the true motion flows are verified over time to achieve robust obstacle detection