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.

Camera pod that captures images or video when triggered by a mobile device

Abstract: The present invention provides methods and systems for remotely recording an image using a mobile device. In one embodiment, a user transmits a message using a mobile device to activate a camera pod to record an image. The user makes adjustments to the settings of the camera pod using the mobile device, and in some instances, initiates a trigger sequence using the mobile device. The camera pod records the image and transmits the image to the mobile device, enabling the user to preview the image. In some instances, the camera pod transmits the image to a storage server, where it is stored in an album. In one embodiment, the storage server creates a webpage with the captured visual record that the user can retrieve using a personal computer.

A digital camera for machine vision

Abstract: A prototype of a complete full-frame motion digital camera with grey levels, standard logic interface and software programmability, specifically designed for machine vision applications, is presented. The key to the high integration level of the camera is a monolithic "intelligent" sensor implemented in standard CMOS technology which offers the possibility of integrating signal-conditioning and interface functions on the same die as the sensor array. A highly parallel analogue-to-digital conversion scheme is used to achieve video rate performance with low power consumption. Applications of the camera in close coupling with the main processors of a number of robotic systems are outlined. >

Smart Cameras: Fundamentals and Classification

Abstract: Since the late 1990s smart cameras have gained significant popularity and market acceptance, especially in surveillance and machine vision industries. A smart camera is a vision system that can perform tasks far beyond simply taking photos and recording videos. Thanks to the purposely developed intelligent image processing and pattern recognition algorithms running on increasingly powerful micro-processors, smart cameras can detect motion, measure objects, read vehicle number plates, and even recognize human behavior. They are essential components for building active and automated control systems for many applications and hold great promise for being pervasive and intelligent sensors in the future. In this chapter we provide a technical definition of smart cameras and analyze the reasons behind their increasing popularity. We also discuss the characteristics and advantages of smart cameras. Later in the chapter a tentative classification of smart cameras is provided based on their system architectures.

Handling Uncertain Sensor Data in Vision-Based Camera Tracking

Abstract: A hybrid approach for real-time markerless tracking is presented. Robust and accurate tracking is obtained from the coupling of camera and inertial sensor data. Unlike previous approaches, we use sensor information only when the image-based system fails to track the camera. In addition, sensor errors are measured and taken into account at each step of our algorithm. Finally, we address the camera/sensor synchronization problem and propose a method to resynchronize these two devices online. We demonstrate our method in two example sequences that illustrate the behavior and benefits of the new tracking method.

An efficient extrinsic calibration of a multiple laser scanners and cameras' sensor system on a mobile platform

Abstract: This work is motivated by a development of a portable and low-cost solution for road mapping in downtown area using a number of laser scanners and video cameras that are mounted on an intelligent vehicle. Sensors on the vehicle platform are considered to be removable, so that extrinsic calibrations are required after each sensors' setting up. Extrinsic calibration might always happen at or near measuremental sites, so that the facilities such as specially marked large environment could not be supposed as a given in the process. In this research, we present a practical method for extrinsic calibration of multiple laser scanners and video cameras that are mounted on a vehicle platform. Referring to a fiducial coordinate system on vehicle platform, a constraint between the data of a laser scanner and of a video camera is established. It is solved in an iterative way to find a best solution from the laser scanner and from the video camera to the fiducial coordinate system. On the other hand, all laser scanners and video cameras are calibrated for each laser scanner and video camera pair that has common in feature points in a sequential way. An experiment is conducted using the data measured on a normal street road. Calibration results are demonstrated by fusing the sensor data into a global coordinate system.