Moving Object Detection
9 papers with code • 1 benchmarks • 2 datasets
To address this concern, we propose two new benchmarks for generic, moving object detection, and show that our model matches top-down methods on common categories, while significantly out-performing both top-down and bottom-up methods on never-before-seen categories.
Compared to other methods, such as deblatting, the inference is of several orders of magnitude faster and allows applications such as real-time fast moving object detection and retrieval in large video collections.
However, these advantages come at a high cost, as the event camera data typically contains more noise and has low resolution.
Wide Area Motion Imagery (WAMI) yields high-resolution images with a large number of extremely small objects.
Satellite video cameras can provide continuous observation for a large-scale area, which is important for many remote sensing applications.