Anomaly detection in surveillance footage is crucial for ensuring protection and safety standards, as it enables the timely identification of unusual or suspicious activities. Recent literature has ...
We provide a dataset for object detection and tracking in aerial imagery, namely “M3OT”. M3OT is a multi-modality vehicle detection and tracking dataset acquired by two Unmanned Aerial Vehicles (UAVs) ...
During the Space and Missile Defense Symposium, BAE Systems unveiled its latest radar system, iMOTR. (BAE Systems) BAE Systems unveiled the iMOTR, an innovative multiple-object tracking radar, at the ...
Our proposed HOMATracker comprises the following steps: (A) Object detection: A detector is used to locate the objects in each frame; (B) Instance-level appearance feature extraction: We involve a ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of Microsoft and Huazhong University researchers this week ...
Computer vision has progressed much over the past decade and made its way into all sorts of relevant applications, both in academia and in our daily lives. There are, however, some tasks in this field ...
Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.
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