Search Results for "object tracking"

Scene is a computer vision framework that performs background subtraction and object tracking, using two traditional algorithms and three more recent algorithms based on neural networks and fuzzy classification rules. For each detected object, Scene sends TUIO messages to one or several client applications. The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters, implemented in OpenCL. ...

iSpy uses your USB webcams, IP cams, capture cards, desktops and microphones to detect and record movement or sound and provides security, surveillance, monitoring and alerting services. Media is recorded directly to H264 mp4 files or AVI files. iSpy can stream live and recorded video over the local network, over the web using the ispyconnect portal and to mobile devices and third party software (like gadgets and MediaPortal). iSpy also includes a server project that lets you connect to...

KinectA is an application for motion tracking via Kinect Sensor – including hand, skeleton and object tracking. This software has been developed for the needs of media artists and designers. It provides a clearly arranged interface with multiple functionalities. The tracked information can be send via OSC to other hard- and software. KinectA is available for Mac and Windows.

...If you need technical help, please send an email to wyou(at)kaist.ac.kr. When you use this software for your publications, please cite as follows. 1. Wonsang You, M.S. Houari Sabirin, and Munchurl Kim, "Moving object tracking in H.264/AVC bitstream," Lecture Notes in Computer Science, vol. 4577, 2007, pp. 483-492. 2. Wonsang You, M.S. Houari Sabirin, and Munchurl Kim, "Real-time detection and tracking of multiple objects with partial decoding in H.264/AVC bitstream domain," Proceedings of SPIE, vol. 7244, 72440D (February 2009).

Includes a framework and various methods of motion detection, enhancement, object tracking.

This is the award-winning FALCON I object recognition system! Capable of tracking up to 12 different objects simultaneously, and with over 6 times the raw resolution of the CMUCam, this is one of the most powerful vision systems in its class.

The Mimas Toolkit is a C++ real-time computer vision library. Algorithms include edge/corner-detection, object recognition/tracking, LSI-filters, segmentation, array-operators, convolution etc. OO wrappers for LAPACK, libxine, V4L, FFTW are provided.