Computer vision for autonomous vehicles: Problems, datasets and state of the art
Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
Transtrack: Multiple object tracking with transformer
In this work, we propose TransTrack, a simple but efficient scheme to solve the multiple
object tracking problems. TransTrack leverages the transformer architecture, which is an …
object tracking problems. TransTrack leverages the transformer architecture, which is an …
Track to detect and segment: An online multi-object tracker
Most online multi-object trackers perform object detection stand-alone in a neural net without
any input from tracking. In this paper, we present a new online joint detection and tracking …
any input from tracking. In this paper, we present a new online joint detection and tracking …
Fairmot: On the fairness of detection and re-identification in multiple object tracking
Multi-object tracking (MOT) is an important problem in computer vision which has a wide
range of applications. Formulating MOT as multi-task learning of object detection and re-ID …
range of applications. Formulating MOT as multi-task learning of object detection and re-ID …
Tracking objects as points
Tracking has traditionally been the art of following interest points through space and time.
This changed with the rise of powerful deep networks. Nowadays, tracking is dominated by …
This changed with the rise of powerful deep networks. Nowadays, tracking is dominated by …
Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking
Abstract Existing Multiple-Object Tracking (MOT) methods either follow the tracking-by-
detection paradigm to conduct object detection, feature extraction and data association …
detection paradigm to conduct object detection, feature extraction and data association …
Towards real-time multi-object tracking
Modern multiple object tracking (MOT) systems usually follow the tracking-by-detection
paradigm. It has 1) a detection model for target localization and 2) an appearance …
paradigm. It has 1) a detection model for target localization and 2) an appearance …