Smart camera

About: Smart camera is a research topic. Over the lifetime, 5571 publications have been published within this topic receiving 93054 citations. The topic is also known as: intelligent camera.

Vehicle vision system with accelerated object confirmation

Abstract: A vision system for a vehicle includes a camera and an image processor. The camera has a forward field of view exterior of the vehicle. The image processor is operable to process image data captured by the camera. At least one device is operable to detect objects that are present forward of the vehicle and outside of the forward field of view of the camera. The device may include at least one of (i) a sensor, (ii) an element of a vehicle-to-vehicle communication system and (iii) an element of a vehicle-to-infrastructure communication system. Responsive to detection of the object being indicative of the object about to enter the field of view of the camera, the image processor anticipates the object entering the field of view of the camera and, upon entering of the field of view of the camera by the object, the image processor detects the object.

Adjustable parallax distance, wide field of view, stereoscopic imaging system

Abstract: An imaging system and methods for using an imaging system where the operator is able to variably adjust the parallax distance for enhanced stereo performance are disclosed. In addition, by coordinating the parallax distance with the optical settings of the camera, artificial 3D experiences can be created that give a user the perception of observing a scene from a distance different than that actually employed. The imaging system may also include a plurality of stereo camera supersets, wherein a first one or more stereo camera supersets are positioned at a different height relative to a first stereo camera superset. Novel specific uses of the camera system, such as in capturing events of interest are described. Useful techniques for extracting or encoding wide field of view images from memory are also disclosed.

DSPcam: A camera sensor system for surveillance networks

Abstract: Surveillance is emerging as a key application of camera networks. In this paper, we describe our wireless smart camera system called DSPcam designed for real-time surveillance purposes. DSPcam has a Blackfin processor, CMOS image sensor and 802.11 b/g communication module. It also integrates with a standard sensor network node such as Firefly [1], through which IEEE 802.15.4-based communication is available. An open-source image processing library ported to our DSPcam platform allows for the development of many computer vision applications. We use the in-network processing ability of each DSPcam in our system to annotate video streams with meta-data information that succinctly describes key elements of the visual data being transmitted. The meta-data can be used to trigger alerts and for conducting rapid ex post facto searches. The DSPcams use a time-synchronized communication protocol called TSAM [2] that enables transmission of a large number of video flows and dynamic allocation of bandwidth for high-priority video streams. Finally, we also describe the integration of DSPcam with Sensor Andrew, a large-scale sensing network [4] deployed across the campus of Anonymous University.

Image-Based Virtual Camera Motion Strategies

Abstract: This paper presents an original solution to the camera control problem in a virtual environment. Our objective is to present a general framework that allows the automatic control of a camera in a dynamic environment. The proposed method is based on the image-based controlor visual servoing approach. It consists in positioning a camera according to the information perceived in the image. This is thus a very intuitive approach of animation. To be able to react automatically to modifications of the environment, we also considered the introduction of constraints into the control. This approach is thus adapted to highly reactive contexts (virtual reality, video games). Numerous examples dealing with classic problems in animation are considered within this framework and presented in this paper.

Task-driven camera operations for robotic exploration

Abstract: Human judgment is an integral part of the teleoperation process that is often heavily influenced by a single video feed returned from the remote environment. Poor camera placement, narrow field of view, and other camera properties can significantly impair the operator's perceptual link to the environment, inviting cognitive mistakes and general disorientation. These faults may be enhanced or muted, depending on the camera mountings and control opportunities that are at the disposal of the operator. These issues form the basis for two user studies that assess the effectiveness of existing and potential teleoperation controls. Findings suggest that providing a camera that is controlled independently from the orientation of the vehicle may yield significant benefits. Moreover, there is evidence to support the use of separate cameras for different navigational subtasks. Third, the use of multiple cameras can also be used to provide assistance without encroaching on the operator's desired threshold for control.