Recognizing planned multiperson action
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Digital Image Processing
Multiple video object tracking in complex scenes
Proceedings of the tenth ACM international conference on Multimedia
Real-Time Tracking for Enhanced Tennis Broadcasts
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
Using object and trajectory analysis to facilitate indexing and retrieval of video
Knowledge-Based Systems
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The MPEG-7 standard is a step towards standardizing the description of multimedia content so that quick and efficient identification of relevant content can be facilitated, together with efficient management of information. The description definition language (DDL) is a schema language to represent valid MPEG-7 descriptors and description schemes. MPEG-7 instances are XML documents that conform to a particular MPEG-7 schema, as expressed in the DDL and that describe audiovisual content. In this paper, we pick one of the visual descriptors related to motion in a video sequence, viz., motion trajectory. It describes the displacements of objects in time, where an object is defined as a spatiotemporal region or set of spatiotemporal regions. We present a method of automatically extracting trajectories from video sequences and generating an XML document that conforms to the MPEG-7 schema. We use sports videos in particular, because the trajectories are very random and the robustness of our algorithm can be demonstrated. The MPEG-7 XM software is a working tool that enables the checking of the relative performance of various algorithms. Insofar as the motion trajectory is concerned, the current version of XM(version 5.5) takes the formatted key-point list of the already segmented object as inputs and outputs the trajectory as an XML document. However, we go a step further by developing an automatic trajectory extraction algorithm that produces motion blobs, which are then tracked to generate the trajectory, which in turn is output as an XML document.