View adaptive multi-object tracking method based on depth relationship cues
Abstract Multi-object tracking (MOT) tasks face challenges from multiple perception views due to the diversity of application scenarios. Different views (front-view and top-view) have different imaging and data distribution characteristics, but the current MOT methods do not consider these differenc...
Saved in:
Main Authors: | Haoran Sun, Yang Li, Guanci Yang, Zhidong Su, Kexin Luo |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2025-01-01
|
Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-024-01776-7 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-Object Tracking with Predictive Information Fusion and Adaptive Measurement Noise
by: Xiaohui Cheng, et al.
Published: (2025-01-01) -
Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage
by: Imad Eddine Toubal, et al.
Published: (2024-01-01) -
Object Tracking with the Drone: Systems Analysis
by: Abbas Aqeel Kareem, et al.
Published: (2023-06-01) -
Image depth estimation assisted by multi-view projection
by: Liman Liu, et al.
Published: (2024-12-01) -
ADSTrack: adaptive dynamic sampling for visual tracking
by: Zhenhai Wang, et al.
Published: (2024-12-01)