dov4l allows you to query and set the capabilities of a video4linux2 device. You can also set several parameters, such as brightness and contrast. It is a command line program that is especially meant for setting up a video4linux2 device before it is used with a Webcam grabber like grabby.
Grabby retrieves images from a video4linux or video4linux2 compatible Webcam or TV card. It can send them to an FTP server, can write them to disk, supports JPG and PPM, can auto-tune contrast/brightness, and lots more. It has tons of special effects. It also can display the effects in real time in a window or stream the result to a Web browser.
Qastrocam-g2 is a fork of the Qastrocam project, Webcam capture software for astronomy. This fork adds support for RGB24 (luminance only) and YUYV. It has better generic V4L support (lx mode and resizing). Settings backup has been added. There is better parallel and serial lx mode support. There are a number of other changes and additions.
Freeseer a video capture utility capable of capturing presentations or demos. It can capture USB, firewire, local desktop, and more. It captures video and audio and mixes them together to produce a video, thus enabling you to capture great presentations, demos, or training material easily.
Flixn Media Platform is a collection of Flash-based tools and backend utilities to facilitate the generation of rich Web media, and video in particular. It features components to enable recording from a webcam and/or microphone, uploading and transcoding of video, and feature-rich playback. The platform was designed for mass/virtual deployment.
Trusion is a physical intrusion system that uses users' Webcams to detect motion, which serves as an indicator to start recording video. Optionally, users can choose to have the program upload the videos to an FTP server in the unfortunate event your computer gets stolen or the perpetrator manages to delete the user's local video files. This is a very new project that is enthusiastically welcoming new contributors and their ideas. This project was build using Qt and OpenCV.