Abstract:
A system and method of object detection are disclosed. In a particular implementation, a method of processing an image includes receiving, at a processor, image data associated with an image of a scene. The scene includes a road region. The method further includes detecting the road region based on the image data and determining a subset of the image data. The subset excludes at least a portion of the image data corresponding to the road region. The method further includes performing an object detection operation on the subset of the image data to detect an object. The object detection operation performed on the subset of the image data is exclusive of the at least a portion of the image data corresponding to the road region.
Abstract:
A device includes a sensor configured to determine an angle of a longitudinal extent of the device with respect to a ground surface. The device also includes an estimator configured to estimate a first distance and to estimate a second distance based on the angle and the first distance. The first distance is associated with a first projection from a center of the device to the ground surface. The first projection is perpendicular to the longitudinal extent of the device. The second distance is associated with a second projection from the center of the device to the ground surface. The second projection is perpendicular to the ground surface.
Abstract:
In a particular embodiment, a method includes evaluating, at a mobile device, a first area of pixels to generate a first result. The method further includes evaluating, at the mobile device, a second area of pixels to generate a second result. Based on comparing a threshold with a difference between the first result and the second result, a determination is made that the second area of pixels corresponds to a background portion of a scene or a foreground portion of the scene.
Abstract:
A method of processing data includes receiving, at a computing device, data representative of an image captured by an image sensor. The method also includes determining a first scene clarity score. The method further includes determining whether the first scene clarity score satisfies a threshold, and if the first scene clarity score satisfies the threshold, determining a second scene clarity score based on second data extracted from the data.
Abstract:
An apparatus includes an object detector configured to receive image data of a scene viewed from the apparatus and including an object. The image data is associated with multiple scale space representations of the scene. The object detector is configured to detect the object responsive to location data and a first scale space representation of the multiple scale space representations.
Abstract:
Techniques and systems are provided for encoding video data. For example, a method of encoding video data includes obtaining a background picture that is generated based on a plurality of pictures captured by an image sensor. The background picture is generated to include background portions identified in each of the captured pictures. The method further includes encoding, into a video bitstream, a group of pictures captured by the image sensor. The group of pictures includes at least one random access picture. Encoding the group of pictures includes encoding at least a portion of the at least one random access picture using inter-prediction based on the background picture.
Abstract:
The disclosed technology relates to image-capturing methods. In one aspect, a method includes receiving an image frame comprising a plurality of pixels and subtracting foreground pixels from the image frame to obtain background pixels. The method additionally includes determining an exposure condition for a next image frame based on at least a subset of the background pixels. The method further includes adjusting the foreground pixels such that a difference between a background luma value and a foreground luma value of the next image frame is within a predetermined range. Aspects are also directed to apparatuses configured for the methods.
Abstract:
Methods and apparatus for capturing an image using an automatic focus are disclosed herein. In one aspect, a method is disclosed which includes communicating, using a camera, with a wireless device via a wireless communication network. The method further includes determining a distance between the camera and the wireless device using the wireless communication network and adjusting a focus of the camera based upon the determined distance. Finally, the method includes capturing an image using the adjusted focus of the camera. In some aspects, this method may be done on a smartphone or digital camera which includes Wi-Fi capabilities.
Abstract:
The disclosed technology relates to image-capturing methods. In one aspect, a method includes receiving an image frame comprising a plurality of pixels and subtracting foreground pixels from the image frame to obtain background pixels. The method additionally includes determining an exposure condition for a next image frame based on at least a subset of the background pixels. The method further includes adjusting the foreground pixels such that a difference between a background luma value and a foreground luma value of the next image frame is within a predetermined range. Aspects are also directed to apparatuses configured for the methods.
Abstract:
A method and system for generating and tracking dynamic advertisements within a program, such as a video game, running on a portable computing device (PCD) are described. The method and system include receiving a call from the program for a texture and reviewing an identifier associated with the texture. A graphics driver determines if the identifier associated with the texture matches an identifier in a texture database. The graphics driver then selects a dynamic advertisement from a texture database if the identifier associated with the texture matches the identifier in the texture database. The graphics driver issues commands to the graphics processor so that dynamic advertisement is presented on a screen display. The graphics driver then determines if a video object produced by the program blocks a portion of the dynamic advertisement present on the screen display.