Video Object Tracking
Free video object tracking AI tools for accurately identifying and following 3D objects in video streams, optimizing your creative projects.
CAVIS can do instance segmentation on videos. It’s able to better track objects and improve instance matching accuracy, resulting in more accurate and stable instance segmentation.
SAMURAI combines the SOTA visual video tracking of SAM 2 with motion-aware memory.
Self-Supervised Any-Point Tracking by Contrastive Random Walks can track any point in a video using a self-supervised global matching transformer.
MOFT is a training-free video motion interpreter and controller. It can be used to extract motion information from video diffusion models and guide the motion of generated videos without the need for retraining.
CoDeF can process videos consistently by using a canonical content field to gather static content and a temporal deformation field to track changes over time. This allows it to perform tasks like video-to-video translation and track moving objects, such as water and smog, without needing extra training.