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Video remote interpreting (VRI) is a videotelecommunication service that uses devices such as web cameras or videophones to provide sign language or spoken language interpreting services. This is done through a remote or offsite interpreter, in order to communicate with persons with whom there is a communication barrier .
Extensive video surveillance systems were relegated to merely recording for possible forensic use to identify someone, after the fact of a theft, arson, attack or incident. Where wide angle camera views were employed, particularly for large outdoor areas, severe limitations were discovered even for this purpose due to insufficient resolution. [ 4 ]
An example of object tracking Small object detection has applications in various fields such as Video surveillance (Traffic video Surveillance, [ 1 ] [ 2 ] Small object retrieval , [ 3 ] [ 4 ] Anomaly detection , [ 5 ] Maritime surveillance , Drone surveying , Traffic flow analysis , [ 6 ] and Object tracking .
Video tracking is the process of locating a moving object (or multiple objects) over time using a camera. It has a variety of uses, some of which are: human-computer interaction, security and surveillance, video communication and compression, augmented reality, traffic control, medical imaging [1] and video editing.
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For sign language translation, SignWriting text is a useful abstraction layer between video and the natural language processing of sign language. [26] The usefulness of SignWriting in natural language processing was validated with a new method of machine translation that has achieved over 30 BLEU.
Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]
Blocking a part of the video signal based on the signal itself, for example because of privacy concerns. Flame and smoke detection IP cameras with intelligent video surveillance technology can be used to detect flame and smoke in 15–20 seconds or even less because of the built-in DSP chip .