The framework consists of a two-level tracking process to track vehicles as groups. The higher level builds the relevance network and divides target vehicles ...

Mar 17, 2021 · This study investigated the use of Cascade Region-based convolutional neural network (R-CNN) networks to enable automatic vehicle counting and tracking in ...

The DB-Tracker algorithm performs excellently in multi-target tracking of drone aerial videos, achieving MOTA of 37.4% and 46.2% on the VisDrone and UAVDT data ...

By detect- ing/tracking humans and objects in the videos, we can rec- ognize events such as BBQ, queuing, exchanging objects, loading/unloading, etc. We ...

Video detection and tracking systems have one or more moving video sensors, while one or more flying air vehicles are in operation area. The proposed algorithm ...

Aug 16, 2024 · This paper presents a unique method for autonomous vehicle surveillance that uses FCM to segment aerial images.

Jul 3, 2020 · This study aims at proposing a novel methodological framework for automatic and accurate vehicle trajectory extraction from aerial videos.

Jun 6, 2023 · Drones tracking in real-time can have lots of turns, making it hard to view a scene. SightLine's roll correction software makes it easier for an ...

Dec 8, 2015 · Our method is capable of tracking vehicles in challenging multi-camera WAMI data, which can then be used for event and anomaly detection.

Mar 17, 2021 · This study investigated the use of Cascade Region-based convolutional neural network (R-CNN) networks to enable automatic vehicle counting and tracking in ...