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Machine learning of visual recognition relates to patterns and their classification. [5] [6] True video analytics can distinguish the human form, vehicles and boats or selected objects from the general movement of all other objects and visual static or changes in pixels on the monitor. It does this by recognizing patterns. When the object of ...
The SKYNET project was linked with drone systems, thus creating the potential for false-positives to lead to deaths. [1] [5]According to NSA, the SKYNET project is able to accurately reconstruct crucial information about the suspects including their social relationships, habits, and patterns of movements through graph-based visualization of GSM data. [3]
This is a list of datasets for machine learning research. It is part of the list of datasets for machine-learning research. These datasets consist primarily of images or videos for tasks such as object detection, facial recognition, and multi-label classification.
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]
Pedestrian detection is an essential and significant task in any intelligent video surveillance system, as it provides the fundamental information for semantic understanding of the video footages. It has an obvious extension to automotive applications due to the potential for improving safety systems.
Small object detection is a particular case of object detection where various techniques are employed to detect small objects in digital images and videos. "Small objects" are objects having a small pixel footprint in the input image. In areas such as aerial imagery, state-of-the-art object detection techniques under performed because of small ...
Swarm Intelligence-based techniques can be used in a number of applications. The U.S. military is investigating swarm techniques for controlling unmanned vehicles. The European Space Agency is thinking about an orbital swarm for self-assembly and interferometry. NASA is investigating the use of swarm technology for planetary mapping.
The electronic means, especially when combined with Internet features (ubiquitous computing, IoT) and enhanced by artificial intelligence analysis methods readily lend themselves to mass surveillance. [3] This is why countersurveillance measures like anonymization and end-to-end encryption have become critical. Devices like chemical markers, on ...