Tube-CNN: Modeling temporal evolution of appearance for object detection in video

Understand

Object detection in video is crucial for many applications.

• Compared to images, video provides additional cues which can help to disambiguate the detection problem.
• Our goal in this paper is to learn discriminative models for the temporal evolution of object appearance and to use such models for object detection.
• To model temporal evolution, we introduce space-time tubes corresponding to temporal sequences of bounding boxes.