Intrael is a portable app server that processes depth data from a kinect and identifies objects using several configurable selection criteria.

It is based on an algorithm for run-based component labeling described by He, Chao, Suzuki and Itoh which provides excellent performance.

Found objects are analyzed and detailed 3D bounding boxes are measured for each of them. 24+ objects can be tracked at fluid frame rates.

The collected data are made available to network clients through polling as raw delimited text or as JSONP HTTP responses for use in browsers.

The programmer just has to include a javascript on his pages to enable the handling of the stream from the server running localy on the client.

Intrael – computer vision for the web

Uncategorized |