We propose a new method to detect deepfake images using the cue of the source feature
inconsistency within the forged images. It is based on the hypothesis that images' distinct …

Autonomous vehicles (AV) are rapidly becoming integrated into everyday life, with several
countries anticipating their inclusion in public transport networks in the coming years. Safety …

Multi-object tracking (MOT) aims to associate target objects across video frames in order to
obtain entire moving trajectories. With the advancement of deep neural networks and the …

Reliably detecting and tracking animals in wildlife videos is an essential basis for
researchers to be able to analyse animal behavior or recognize animal individuals. In order …

Despite the high utility of traffic volume and turning movement data, such data is still hard to
come by for the vast majority of roadways and intersections in nearly every city. Edge …

End-to-end production of vehicle tracking data from video in real-time and with high
accuracy remains a challenging problem due to the computational cost of object detection …

Over the past few years, the usage of assistive technology by the visually impaired (VI) has
significantly increased worldwide. These devices assist the VI in carrying out daily tasks …

In this paper, we propose a new cooperative method that improves the accuracy of Turn
Movement Count (TMC) under challenging conditions by introducing contextual …

This paper studies the group multi-object tracking (MOT) problem in dynamic pedestrian
environments, with intended application to safe navigation for autonomous vehicles. We …

Most modern farms use radio frequency identification (RFID) devices to scan tags/collars to
identify unique individual cows. However, keeping such devices operational can be …