Person detection and tracking techniques may be used to estimate pedestrian traffic in locations equipped with cameras. Persons detected in video data from the cameras may help determine existing pedestrian traffic data. Future pedestrian traffic estimation may be performed to estimate pedestrian traffic characteristics (such as volume, direction, etc.) Such traffic estimation may be provided to users for route planning/congestion information. A traffic map can be derived based on the number of people at or expected to be at certain locations. The map may be provided to users to provide traffic data and/or estimations.

Image and video based pedestrian traffic estimation

Recording and Publishing Content on Social Media Websites

A method, system and program for transmitting a data stream in a network of interconnectable end-user nodes comprising a source node, a plurality of recipient nodes and a plurality of further nodes, wherein each end-user node executes a communication client application. The method comprises: the source receiving a command to transmit the data stream to the plurality of recipients; selecting from the plurality of further nodes at least one relaying node to relay the data stream between the source node and the plurality of recipients; the source establishing a connection to the at least one relaying node; the at least one relaying node establishing a connection to each of the plurality of recipients; transmitting the data stream from the source to the at least one relaying node; and transmitting the data stream from the at least one relaying node to the plurality of recipients.

Method and System for Data Transmission

Systems and methods are disclosed that include a video-based analysis system that detects, tracks and archives vehicles in video stream data at multiple resolutions. The system includes an image capturing device that captures video stream data having video at a first high resolution. A vehicle detection module detects at least one vehicle within the video. A vehicle analysis module is configured to analyze the video and to extract one or more key vehicle features from the video to enable identification of a vehicle of interest (VOI) according to a set of predetermined criteria. A subsampling module creates a reduced resolution video stream in a second subsampled resolution that is lower than the first high resolution while maintaining the one or more extracted key features within the reduced resolution video stream in the first high resolution, and archives the reduced resolution video stream into a video database.

Multi-resolution video analysis and key feature preserving video reduction strategy for (real-time) vehicle tracking and speed enforcement systems

An easy-to-use online video stabilization system and methods for its use are described. Videos are stabilized after capture, and therefore the stabilization works on all forms of video footage including both legacy video and freshly captured video. In one implementation, the video stabilization system is fully automatic, requiring no input or parameter settings by the user other than the video itself. The video stabilization system uses a cascaded motion model to choose the correction that is applied to different frames of a video. In various implementations, the video stabilization system is capable of detecting and correcting high frequency jitter artifacts, low frequency shake artifacts, rolling shutter artifacts, significant foreground motion, poor lighting, scene cuts, and both long and short videos.

Cascaded camera motion estimation, rolling shutter detection, and camera shake detection for video stabilization

A method and system are provided for remotely analyzing multimedia content, in particular video, and extracting information from such multimedia content. The system analyses, e.g. a video file by way of an FTP, file upload or streaming data etc., and configuration settings specified in one embodiment by a separate entity at one of multiple server entities. The system also comprises one or more remote server entities utilizing data storage and data processing capabilities. In one embodiment the client sends a video source and configuration settings over a network, the remote server accepts the video source, generates configuration settings, and a data processing module analyzes the video content to extract data from the video.

Di Zhang

Papers

Method and system for analyzing multimedia content

Verfahren und system zum analysieren von multimediainhalt