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.

Hand-manipulated electronic camera tethered to a personal computer

Abstract: A portable, electronic camera is connectable to a computer for capturing an image and providing the captured image to the computer for storage therewith. The camera ergonomically acts like an independent, self-functioning peripheral device while in actuality depending on instructions from the computer. The camera is remotely linked to the computer, e.g., by a cable, thereby allowing mobility of the camera independent of the computer. The camera includes an electronic image sensor, and circuit for driving the sensor to generate an image signal that is applied to the computer through the remote link. The readiness of the computer to accept an image signal is manifested by operative device in the camera, which condition the camera for image capture in response to a status signal from the computer transmitted through the remote link. In one embodiment, a capture switch is positioned on or with the camera for user engagement, whereby the operative device inhibits actuation of the capture switch until receipt of the status signal. In another embodiment, the operative device energizes an exposure readiness indicator when the status signal is received.

Smart Camera Based Monitoring System and Its Application to Assisted Living : Video analysis algorithms replace human operators in a practical prototype system that attempts to respect privacy while detecting residents who fall

Abstract: Western societies are aging rapidly. An automated 24/7 surveillance to ensure safety of the elderly while respecting privacy becomes a major challenge. At the same time this is representative of novel and emerging video surveillance applications discovered lately besides the classic surveillance protection applications in airports, government buildings, and industrial plants. Three problems of current surveillance systems are identified. A distributed and automated smart camera based approach is proposed that addresses these problems. The proposed system's goal set is to analyze the real world and reflect all relevant-and only relevant-information live in an integrated virtual counterpart for visualization. It covers geor-eferenced person tracking and activity recognition (falling person detection). A prototype system installed in a home for assisted living has been running 24/7 for several months now and shows quite promising performance.

Car parking occupancy detection using smart camera networks and Deep Learning

Abstract: This paper presents an approach for real-time car parking occupancy detection that uses a Convolutional Neural Network (CNN) classifier running on-board of a smart camera with limited resources. Experiments show that our technique is very effective and robust to light condition changes, presence of shadows, and partial occlusions. The detection is reliable, even when tests are performed using images captured from a viewpoint different than the viewpoint used for training. In addition, it also demonstrates its robustness when training and tests are executed on different parking lots. We have tested and compared our solution against state of the art techniques, using a reference benchmark for parking occupancy detection. We have also produced and made publicly available an additional dataset that contains images of the parking lot taken from different viewpoints and in different days with different light conditions. The dataset captures occlusion and shadows that might disturb the classification of the parking spaces status.

Automated multi-camera planar tracking correspondence modeling

Abstract: This paper introduces a method for robustly estimating a planar tracking correspondence model (TCM) for a large camera network directly from tracking data and for employing said model to reliably track objects through multiple cameras. By exploiting the unique characteristics of tracking data, our method can reliably estimate a planar TCM in large environments covered by many cameras. It is robust to scenes with multiple simultaneously moving objects and limited visual overlap between the cameras. Our method introduces the capability of automatic calibration of large camera networks in which the topology of camera overlap is unknown and in which all cameras do not necessarily overlap. Quantitative results are shown for a five camera network in which the topology is not specified.

Providing multiple synchronized camera views for broadcast from a live venue activity to remote viewers

Abstract: A method and system for transmitting and displaying venue-based synchronized camera views for live venue activities to remote views. A synchronized camera can include a main camera and at least one slave camera, wherein slave camera movement depends on movement by the main camera. Views captured by a slave camera can be of the same general target as those captured by the main camera. Remote viewers can be venue-based hand held devices or distant monitors. Remote viewers can include hand held devices and digital entertainment monitors (e.g., HDTV). Within a venue, the camera views can be processed and formatted for display on display screens associated with venue-based hand held device. A user can select from more than one view from the synchronized camera that the user wants displayed on the remote viewer, thereby enabling a user of the hand held device to view more than one camera view, at a time or simultaneously, through the remote viewer.