An in-place imaging device, including: a housing and a support stand, the housing including: a camera; a wireless communication module; a touch sensitive screen configured for displaying content and receiving input; and a processing unit; wherein the imaging device is adapted to capture footage with the camera and transmitting the footage via the wireless communication module to a network access point. The footage is transmitted to a media server via a communications network to which the network access point is connected.

A camera device includes a lens unit that includes a zoom lens on which subject light is incident, and can change a zoom magnification of the zoom lens, an imaging element that images an image based on the subject light, a shake sensor that detects shake of the camera device, a shake correction mechanism that holds a holder holding the imaging element, and performs shake correction on a captured image captured by the imaging element through driving of the holder based on a detection value of the shake sensor, and a processor that causes the lens unit to change the zoom magnification of the zoom lens based on the detection value of the shake sensor, cuts a part of the captured image on which the shake correction is performed by the shake correction mechanism through a zoom process according to the changed zoom magnification, and outputs the cut part.

An image monitoring system includes: a reference image generation unit generating a reference image serving as a reference image, based on an input image; a foreground extraction unit detecting, from the input image, a foreground region different from the reference image; a stationary region extraction unit extracting a stationary region from the foreground region; a feature quantity extraction unit extracting a feature quantity of the stationary region; a feature quantity recording unit recording feature quantities as a function of time; a stationary object detection unit clustering pixels, recorded feature quantities of which meet predetermined criteria, and detecting a stationary object; a left object determination unit determining whether the stationary object is a left object, based on a feature quantity of the stationary object and evaluation of the surrounding environment; and a left object management unit managing attributes of left objects, and issuing a report when a certain condition is met.

In a case where it is difficult for a user to determine which of an infra-red light video, a visible light video, and a combined video is desirable for use in monitoring for the reason that the determination result changes depending on the image capturing situation, an image capturing apparatus outputs at least one of the infra-red light image, the visible light image, and the combined image based on a result of detection of an object in the infra-red light image and a result of detection of an object in the visible light image.

A spherical camera is disclosed. The camera includes an imaging unit. A base of the camera includes a track. A spherical housing includes a first housing part for containing the imaging unit. A second housing part includes a dove tail shaped to be slidably received within the track of the base. A loop is positionable around a periphery surface of the base, the loop being tightenable from a first position wherein the spherical housing is tiltable along the track to a second position wherein the spherical housing is locked in position.

Provided are a camera assembly and a method of installing the camera assembly. The camera assembly includes: a base portion; a guide rail mounted on a surface of the base portion; a magnet arranged to face the guide rail; a camera lens units arranged to be moveable on or along the guide rail; and a cover configured to fix positions of the camera lens units to the guide rail by pushing at least one of the plurality of camera lens units.

A camera system includes memory, image sensors, illuminators, and a processor. The processor operates the illuminators and the image sensors in a first mode to capture a two-dimensional image of the scene using light transmitted by the illuminators and reflected from the scene. The processor operates in a second mode to capture a plurality of images of the scene, including capturing a first image of the scene while one or more of the illuminators are activated and capturing a second image of the scene is while none of the illuminators are activated. The images are transmitted to a remote cloud computing system. The remote system constructs a light intensity map for the scene using the first and second images, and identifies a first region in the light intensity map as a glass surface when the light intensity values for the first region are below a threshold value corresponding to glass.

Disclosed is a system that performs motion analysis in a field of interest. The system may include at least one gateway disposable proximal to the field of interest. Further, the system may include a plurality of motion sensors. Further, a motion sensor may include a photodetector array, a processor and a wireless transmitter. Further, the wireless transmitter may be configured to transmit the digital information to at least one of a motion sensor of the plurality of motion sensors and the at least one gateway. Additionally, the system may include a plurality of video cameras disposable at a plurality of key locations in the field of interest. Further, at least one video camera may be further configured to transmit a part of a corresponding image sequence to at least one of the remote monitoring center through the at least one gateway.

An object sensing system, an object sensing method, and a recording medium storing a program. The object sensing system and the object sensing method include transmitting a signal of identification information of the object, using an identification information transmitter attached to the object, receiving the signal of the identification information transmitted from the identification information transmitter, using a detector, detecting the object based on the signal of the identification information obtained in the receiving, using the detector, capturing the object using an imaging device, performing image processing on the object when the object is detected by the detector within the capturing range of the imaging device, the image processing being performed differently when the object is not detected by the detector within the capturing range of the imaging device, and estimating at least a position of the object. The program causes a computer to execute the object sensing method.

A polygon monitoring camera with multi-functional mounting structure has a housing, a first assembling surface and a second assembling surface. A camera module is provided within the inside of the housing. The first assembling surface formed on either side of the housing is configured to fix an mounting module thereon; while the second assembling surface formed on the other surface of the housing is configured to install additionally a fixing unit configured to fix another mounting module or a second polygon monitoring camera that is identical in appearance and contains a depth camera module. In this manner, manufacturers can customize the mounting modules required for different user according to their actual needs, and solve the problem that the conventional multi-functional cameras cannot meet the requirements of customized design due to different specifications of the camera, and present disclosure can achieve increased functions of a single camera in flexible manner.