Pedestrian trajectory prediction is critical in many vision tasks but challenging due to the
multimodality of the future trajectory. Most existing methods predict multimodal trajectories …

We present ARTrackV2 which integrates two pivotal aspects of tracking: determining where
to look (localization) and how to describe (appearance analysis) the target object across …

Exploring robust and efficient association methods has always been an important issue in
multiple-object tracking (MOT). Although existing tracking methods have achieved …

Multi-Object Tracking (MOT) aims to detect and associate all desired objects across frames.
Most methods accomplish the task by explicitly or implicitly leveraging strong cues (ie …

Object tracking is a key technology in the field of intelligent vehicle environmental
perception. Accurate and efficient object tracking technologies provide autonomous vehicles …

Kalman filter-based tracking-by-detection (KFTBD) trackers are effective methods for solving
multi-person tracking tasks. However, in crowd circumstances, noisy detection results …

RGB-D salient object detection aims to perform the pixel-wise localization of salient objects
from both RGB and depth images, whose challenge mainly comes from how to learn …

This work presents a novel real-time detection instance segmentation and tracking approach
for soccer videos. Unlike conventional methods we augment video frames by incorporating …

Abstract Multi-Object Tracking (MOT) encompasses various tracking scenarios each
characterized by unique traits. Effective trackers should demonstrate a high degree of …

This paper proposes H^ 3Net that considers detecting people in irregular postures by
utilizing human structures and characters. To handle both features we introduce two …