Abstract: A non-transitory computer-readable medium stores an information processing program that causes a computer to detect bounding boxes of an object in multiple frames captured by a camera installed at a fixed location. The program determines reliability for each detected bounding box and generates a heat map representing average reliability at each coordinate within the camera's field of view. By aggregating reliability values across frames, the system produces a spatial representation useful for analyzing detection performance within the monitored area.

Abstract: A non-transitory computer-readable recording medium has stored therein a detection program that causes a computer to execute a process including acquiring an input image from a camera acquiring a first detection result by inputting the input image to a first detection model that performs object detection acquiring a plurality of detection results by inputting the input image to a plurality of detection models trained based on different training data sets with a parameter of the first detection model used as an initial value and generating a detection result in which the first detection result and the detection results are combined.

Abstract: A system and methods are provided for determining a vehicle action during a phantom projection attack, including processing a received image to identify a traffic object, and creating from the received image multiple processed images that are applied to respective neural network (NN) models. Latent representations of the multiple processed images from each of the NN models are then fed to a combiner model trained to determine whether the latent representations indicate a phantom projection attack, and, responsively to a determination of a phantom projection attack, issuing a phantom projection indicator.

Abstract: A system and methods are provided for determining a vehicle action during a phantom projection attack, including processing a received image to identify a traffic object, and creating from the received image multiple processed images that are applied to respective neural network (NN) models. Latent representations of the multiple processed images from each of the NN models are then fed to a combiner model trained to determine whether the latent representations indicate a phantom projection attack, and, responsively to a determination of a phantom projection attack, issuing a phantom projection indicator.

Abstract: A signature verification system, which comprises a plurality of worn devices of signing users, each provided with one or more motion sensors, and a processor for receiving motion signals from the sensors, the processor is adapted to define a set of features that describe a signature and distinguish one signature from another; perform a training phase by obtaining motion signals from one or more motion sensors of the worn devices; training a machine learning classifier using the instances and labels; obtain motion signals from motion sensors of the a worn device, the motion being of an allegedly genuine signature of one of the users; scale and domain transform the allegedly genuine signature; calculate values of the features describing the allegedly genuine signature with respect to scaled and transformed reference signatures of the one of the users; and apply the trained classifier on the feature values, thereby classifying the allegedly genuine signature as genuine or forged.

Abstract: A system and method for identifying if a drone is illegitimately video streaming a location, object or person. An interceptor intercepts radio transmissions and identifies if a radio transmission is an FPV video transmission. A watermarker is used for emitting a periodic physical stimulus at a given frequency for a given duration. The system then verifies if there is a correlation between the video transmission and the periodic physical stimulus; and issues a privacy invasion attack notification if such a correlation is determined between the video transmission and the periodic physical stimulus.

Abstract: A system and method for identifying if a drone is illegitimately video streaming a location, object or person. An interceptor intercepts radio transmissions and identifies if a radio transmission is an FPV video transmission. A watermarker is used for emitting a periodic physical stimulus at a given frequency for a given duration. The system then verifies if there is a correlation between the video transmission and the periodic physical stimulus; and issues a privacy invasion attack notification if such a correlation is determined between the video transmission and the periodic physical stimulus.

Abstract: A signature verification system, which comprises a plurality of worn devices of signing users, each provided with one or more motion sensors, and a processor for receiving motion signals from the sensors, the processor is adapted to define a set of features that describe a signature and distinguish one signature from another; perform a training phase by obtaining motion signals from one or more motion sensors of the worn devices; training a machine learning classifier using the instances and labels; obtain motion signals from motion sensors of the a worn device, the motion being of an allegedly genuine signature of one of the users; scale and domain transform the allegedly genuine signature; calculate values of the features describing the allegedly genuine signature with respect to scaled and transformed reference signatures of the one of the users; and apply the trained classifier on the feature values, thereby classifying the allegedly genuine signature as genuine or forged.