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US 2018/0018524 A1Published application
Fully convolutional pyramid networks for pedestrian detection
AssigneeIntel Corporation
InventorsAnbang YAO, Ruoyan WANG, Yurong CHEN
Life of this patent
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AssigneeIntel Corporation
InventorsAnbang YAO, Ruoyan WANG, Yurong CHEN
Estimating the term…
A fully convolutional pyramid network and method for object (e.g., pedestrian) detection are disclosed. In one embodiment, the object detection system is a pedestrian detection system that comprises: a multi-scale image generator to generate a set of images from an input image, the set of images being versions of the input image at different scales; a human body-specific fully convolutional network (FCN) model operable to generate a set of detection results for each image in the set of images that is indicative of objects that are potentially of human bodies; and a post processor to combine sets of detection results generated by the FCN model for the set of images into an output image with each object location determined as potentially being a human body being marked.
A visual object detection system comprising:
(canceled)
A method for detecting a visual object of a specific type in an input image, the method comprising:
An article of manufacture having one or more non-transitory computer readable media storing instructions which, when executed by a system, cause the system to perform a method for detecting pedestrians in an input image, the method comprising:
Dependencies are inferred from the claim text.