Eledath
Arun V. Eledath, Ledgewood, NJ US
Patent application number | Description | Published |
---|---|---|
20110142032 | REUSABLE AND EXTENSIBLE FRAMEWORK FOR MULTIMEDIA APPLICATION DEVELOPMENT - Systems and methods of developing and/or implementing multimedia applications. The system provides an extensible framework including an application layer, a framework utility layer, and a core engine layer. The framework utility layer includes an application programming interface, a video codec sub-framework (XCF), a video packetization sub-framework (XPF), and a video/text overlay sub-framework (XOF). The core engine layer includes one or more core codec engines and one or more core rendering engines. The XCF, XPF, and XOF sub-frameworks are effectively decoupled from the multimedia applications executing on the application layer, and the core codec and rendering engines of the core engine layer, allowing the XCF, XPF, and XOF sub-frameworks and core codec/rendering engines to be independently extensible. The system also fosters enhanced reuse of existing multimedia applications across a plurality of multimedia systems. | 06-16-2011 |
20110142121 | REUSABLE AND EXTENSIBLE FRAMEWORK FOR MULTIMEDIA APPLICATION DEVELOPMENT - Systems and methods of developing and/or implementing multimedia applications. The system provides an extensible framework including an application layer, a framework utility layer, and a core engine layer. The framework utility layer includes an application programming interface, a video codec sub-framework (XCF), a video packetization sub-framework (XPF), and a video/text overlay sub-framework (XOF). The core engine layer includes one or more core codec engines and one or more core rendering engines. The XCF, XPF, and XOF sub-frameworks are effectively decoupled from the multimedia applications executing on the application layer, and the core codec and rendering engines of the core engine layer, allowing the XCF, XPF, and XOF sub-frameworks and core codec/rendering engines to be independently extensible. The system also fosters enhanced reuse of existing multimedia applications across a plurality of multimedia systems. | 06-16-2011 |
Jayakrishan Eledath, Robbinsville, NJ US
Patent application number | Description | Published |
---|---|---|
20140270494 | COMPUTER VISION AS A SERVICE - A computer vision service includes technologies to, among other things, analyze computer vision or learning tasks requested by computer applications, select computer vision or learning algorithms to execute the requested tasks based on one or more performance capabilities of the computer vision or learning algorithms, perform the computer vision or learning tasks for the computer applications using the selected algorithms, and expose the results of performing the computer vision or learning tasks for use by the computer applications. | 09-18-2014 |
Jayakrishnan Eledath, Robbinsville, NJ US
Patent application number | Description | Published |
---|---|---|
20130198197 | METHOD AND APPARATUS FOR CORRELATING AND VIEWING DISPARATE DATA - A computer-implemented method comprising collecting data from a plurality of information sources, identifying a geographic location associated with the data and forming a corresponding event according to the geographic location, correlating the data and the event with one or more topics based at least partly on the identified geographic location and storing the correlated data and event and inferring the associated geographic location if the data does not comprise explicit location information, including matching the data against a database of geo-referenced data. | 08-01-2013 |
20140347475 | REAL-TIME OBJECT DETECTION, TRACKING AND OCCLUSION REASONING - A system for object detection and tracking includes technologies to, among other things, detect and track moving objects, such as pedestrians and/or vehicles, in a real-world environment, handle static and dynamic occlusions, and continue tracking moving objects across the fields of view of multiple different cameras. | 11-27-2014 |
Jayakrishnan Kumar Eledath, Princeton, NJ US
Patent application number | Description | Published |
---|---|---|
20090284601 | APPARATUS FOR INTELLIGENT AND AUTONOMOUS VIDEO CONTENT GENERATION AND STREAMING - A system for automatically capturing an event of interest in a venue is disclosed, comprising a plurality of cameras for capturing video images of the event; and at least one processor communicatively connected to said plurality of cameras and con figured to execute a plurality of modules, said modules comprising a rectification module for combining the video images to form a wide-angle view; at least one of a motion analysis module configured for tracking salient blobs that are not part of a background of the wide-angle view, an activity analysis module configured for extracting temporal and spatial patterns from the wide-angle view, and a shape and appearance module configured for selecting one or more objects in the wide-angle view based on descriptors that are scale and rotational invariant; and a region of interest selector for selecting a viewpoint from the wide-angle view based on output from at least one of the motion analysis module, the activity analysis module, and the shape and appearance module, wherein the region of interest selector outputs the selected viewpoint for display. The system further comprises at least one audio recording device for capturing audio from the event; and means for synchronizing the video images and audio. | 11-19-2009 |
20130182119 | APPARATUS FOR INTELLIGENT AND AUTONOMOUS VIDEO CONTENT GENERATION AND STREAMING - A system for automatically capturing an event of interest in a venue is disclosed, comprising a plurality of cameras for capturing video images of the event; and at least one processor communicatively connected to said plurality of cameras and configured to execute a plurality of modules, said modules comprising a rectification module for combining the video images to form a wide-angle view; at least one of a motion analysis module configured for tracking salient blobs that are not part of a background of the wide-angle view, an activity analysis module configured for extracting temporal and spatial patterns from the wide-angle view, and a shape and appearance module configured for selecting one or more objects in the wide-angle view based on descriptors that are scale and rotational invariant; and a region of interest selector for selecting a viewpoint from the wide-angle view based on output from at least one of the motion analysis module, the activity analysis module, and the shape and appearance module, wherein the region of interest selector outputs the selected viewpoint for display. The system further comprises at least one audio recording device for capturing audio from the event; and means for synchronizing the video images and audio. | 07-18-2013 |
Jayan Eledath, Princeton, NJ US
Patent application number | Description | Published |
---|---|---|
20090067675 | RADAR GUIDED VISION SYSTEM FOR VEHICLE VALIDATION AND VEHICLE MOTION CHARACTERIZATION - A method for determining whether a target vehicle in front of a host vehicle intends to change lanes using radar data and image data is disclosed, comprising the steps of processing the image data to detect the boundaries of the lane of the host vehicle; estimating a ground plane by determining a projected vanishing point of the detected lane boundaries; using a camera projection matrix to map the target vehicle from the radar data to image coordinates; and determining lane change intentions of the target vehicle based on a moving trajectory and an appearance change of the target vehicle. Determining lane change intentions based on a moving trajectory of the target vehicle is based on vehicle motion trajectory relative to the center of the lane such that the relative distance of the target vehicle from the center of the lane follows a predetermined trend. Determining lane change intentions based on an appearance change of the target vehicle is based on a template that tracks changes to the appearance of the rear part of the target vehicle due to rotation. | 03-12-2009 |
20100202657 | SYSTEM AND METHOD FOR OBJECT DETECTION FROM A MOVING PLATFORM - The present invention relates to a system and method for detecting one or more targets belonging to a first class (e.g., moving and/or stationary people), from a moving platform in a 3D-rich environment. The framework described here is implemented using a number of monocular or stereo cameras distributed around the vehicle to provide 360 degrees coverage. Furthermore, the framework described here utilizes numerous filters to reduce the number of false positive identifications of the targets. | 08-12-2010 |
20110255741 | METHOD AND APPARATUS FOR REAL-TIME PEDESTRIAN DETECTION FOR URBAN DRIVING - A computer implemented method for detecting the presence of one or more pedestrians in the vicinity of the vehicle is disclosed. Imagery of a scene is received from at least one image capturing device. A depth map is derived from the imagery. A plurality of pedestrian candidate regions of interest (ROIs) is detected from the depth map by matching each of the plurality of ROIs with a 3D human shape model. At least a portion of the candidate ROIs is classified by employing a cascade of classifiers tuned for a plurality of depth bands and trained on a filtered representation of data within the portion of candidate ROIs to determine whether at least one pedestrian is proximal to the vehicle. | 10-20-2011 |
Jayan Eledath, Robbinsville, NJ US
Patent application number | Description | Published |
---|---|---|
20090207257 | CAMERA EGOMOTION ESTIMATION FROM AN INFRA-RED IMAGE SEQUENCE FOR NIGHT VISION - A method for estimating egomotion of a camera mounted on a vehicle that uses infra-red images is disclosed, comprising the steps of (a) receiving a pair of frames from a plurality of frames from the camera, the first frame being assigned to a previous frame and an anchor frame and the second frame being assigned to a current frame; (b) extracting features from the previous frame and the current frame; (c) finding correspondances between extracted features from the previous frame and the current frame; and (d) estimating the relative pose of the camera by minimizing reprojection errors from the correspondences to the anchor frame. The method can further comprise the steps of (e) assigning the current frame as the anchor frame when a predetermined amount of image motion between the current frame and the anchor frame is observed; (f) assigning the current frame to the previous frame and assigning a new frame from the plurality of frames to the current frame; and (g) repeating steps (b)-(f) until there are no more frames from the plurality of frames to process. Step (c) is based on an estimation of the focus of expansion between the previous frame and the current frame. | 08-20-2009 |