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.

Smart camera with a plurality of slots for modular expansion capability through a variety of function modules connected to the smart camera

Abstract: A smart camera with modular expansion capabilities, including a housing, a camera directly attached to the housing for acquiring an image of an object, a functional unit comprised in the housing and coupled to the camera, where the functional unit is configurable to implement an image processing function, a backplane comprised in the housing and coupled to the functional unit to provide electrical communication, and one or more slots comprised in the housing, where each slot includes a connector that is electrically coupled to the backplane, and where each slot is adapted for receiving a function module. An inserted function module provides modular functionality to the smart camera, such as dedicated image processing functionality, pattern recognition, analysis, communication, sensor, sensor I/O, signal conditioning and/or conversion, control, measurement, and synchronization, among others. The function module may communicate a protocol to the functional unit which may be configured to implement the protocol.

Robust camera calibration tool for video surveillance camera in urban environment

Abstract: Video surveillance applications such as smart room and security system are prevailing nowadays. Camera calibration information (e.g. camera position, orientation, and focal length) is very useful for various surveillance systems because it can provide scene knowledge and limit search space for object detection or tracking. In this paper, we describe a camera calibration tool that does not require any calibration object or specific geometric objects by using vanishing points. In urban environment, vanishing points are easily obtainable since there exist many parallel lines such as street lines, light poles, buildings, etc in either outdoor or indoor scene images. Experimental results from various surveillance cameras are presented.

GPU-based implementation of an optimized nonparametric background modeling for real-time moving object detection

Abstract: Answering to the growing demand of computer vision tools for the last generations of consumer electronic devices equipped with smart cameras, several nonparametric moving detection algorithms have been developed. These algorithms, by modeling both background and foreground from spatio-temporal reference data, provide satisfactory results in many complex scenarios. However, to be computationally efficient, they apply some simplifications that decrease the quality of the detections. This paper presents a novel real-time implementation of an optimized spatio-temporal nonparametric moving object detection strategy. To improve the quality of previous algorithms, the bandwidths of the kernels required to model the background are dynamically estimated, and the background model is also selectively updated. The proposed implementation features smart cooperation between a computer/device's Central and Graphics Processing Units (CPU/GPU) and extensive usage of the texture mapping and filtering units of the latter, including a novel method for fast evaluation of Gaussian functions. Thanks to these features, high quality detection rates are achieved while respecting the realtime restrictions imposed by computer vision tools running on current consumer electronic devices.

Augmented Reality Videogame Broadcast Programming

Abstract: There is provided a system and method for integrating a virtual rendering system and a video capture system using flexible camera control to provide an augmented reality. There is provided a method comprising receiving input data from a plurality of clients for modifying a virtual environment presented using the virtual rendering system, obtaining, from the virtual rendering system, a virtual camera configuration of a virtual camera in the virtual environment, programming the video capture system using the virtual camera configuration to correspondingly control a robotic camera in a real environment, capturing a video capture feed using the robotic camera, obtaining a virtually rendered feed using the virtual camera showing the modifying of the virtual environment, rendering the composite render by processing the feeds, and outputting the composite render to the display.

Fail safe image processing apparatus

Abstract: Methods of capturing image pixel data representing a scene may be practiced using a camera and may be implemented as software, such as an application program executing within the camera. The methods are particularly advantageous where user modification to the camera control parameters leads to a difference between the values of the pre-capture control parameters for the camera when compared to the pre-capture control parameters that the camera would determine in fully automatic mode. The measured difference may be compared to one or more predetermined threshold values.