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.

Image data analysis security camera

Abstract: An image data analysis security camera having internal logic circuits and remote user controls The image data analysis security camera samples an initial image and compares subsequent images thereto, if a deviation between the two images is detected the image data analysis camera will initiate a remote alarm The image data analysis security camera may also be provided with wireless communication capabilities and an internal battery thereby enabling the user to move the camera to another location quickly and easily

Gradient calculating camera board

Abstract: In a machine vision system utilizing computer processing of image data, an imaging module incorporates the image sensor as well as pre-processing circuitry, for example, for performing a background subtraction and/or a gradient calculation. The pre-processing circuitry may also compress the image information. The host computer receives the pre-processed image data and performs all other calculations necessary to complete the machine vision application, for example, to determine one or more wheel alignment parameters of a subject vehicle. In a disclosed example useful for wheel alignment, the module also includes illumination elements, and the module circuitry provides associated camera control. The background subtraction, gradient calculation and associated compression require simpler, less expensive circuitry than for typical image pre-processing boards. Yet, the pre-processing at the imaging module substantially reduces the processing burden on the host computer when compared to machine vision implementations using direct streaming of image data to the host computer.

Robotic camera control for remote exploration

Abstract: A video stream from a single camera is often the foundation for situational awareness in teleoperation activities. 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. This paper provides a brief overview of viewpoint control research for 3D virtual environments (VE) to motivate a user study that evaluates the effectiveness of viewpoint controls on a simulated robotic vehicle. Findings suggest that providing a camera that is controlled independently from the orientation of the vehicle may facilitate wayfinding tasks. Moreover, there is evidence to support the use of separate cameras and interfaces for different navigational subtasks.

Remote-control battery powered rain resistance self-video capturing camera mounting device

Abstract: A wirelessly remote control battery powered self-video capturing capability camera mounting device system especially for handheld video camera. It provides the user the ability to control the video capturing direction of the handheld video camera from a distance away. The video camera mounting stage provides polar rotational movement both horizontally and vertically. The rotational movement is controlled by remote device as the input instructional device by the user. The signal is then transmitted to the video camera mounting stage via wireless signal transmission. The camera mounting stage receives the signals and generates functions to drive the designated motors to move the camera video capturing direction to the decided direction. The user can then confirm the results from the LCD screen of the video camera and fine tune the direction of the video camera mounting stage. This device provides the user the opportunity to be in the video while taking video pictures for the occasion. The device is rain resistance and provides a rain shield for the video camera.

Sensor planning for automated and persistent object tracking with multiple cameras

Abstract: Most existing camera placement algorithms focus on coverage and/or visibility analysis, which ensures that the object of interest is visible in the camera's field of view (FOV). However, visibility, a fundamental requirement of object tracking, is insufficient for persistent and automated tracking. In such applications, a continuous and consistently labeled trajectory of the same object should be maintained across different cameraspsila views. Therefore, a sufficient overlap between the cameraspsila FOVs should be secured so that camera handoff can be executed successfully and automatically before the object of interest becomes untraceable or unidentifiable. The proposed sensor planning method improves existing algorithms by adding handoff rate analysis, which preserves necessary overlapped FOVs for an optimal handoff success rate. In addition, special considerations such as resolution and frontal view requirements are addressed using two approaches: direct constraint and adaptive weight. The resulting camera placement is compared with a reference algorithm by Erdem and Sclaroff. Significantly improved handoff success rate and frontal view percentage are illustrated via experiments using typical office floor plans.