paper-with-me

홈 › Papers

WisenetMD: Motion Detection Using Dynamic Background Region Analysis

2018-05-23 · Sang-Ha Lee, Soon-Chul Kwon, Jin-Wook Shim, Jeong-Eun Lim, Jisang Yoo

Motion detection algorithms that can be applied to surveillance cameras such as CCTV (Closed Circuit Television) have been studied extensively. Motion detection algorithm is mostly based on background subtraction. One main issue in this technique is that false positives of dynamic backgrounds such as wind shaking trees and flowing rivers might occur. In this paper, we proposed a method to search for dynamic background region by analyzing the video and removing false positives by re-checking false positives. The proposed method was evaluated based on CDnet 2012/2014 dataset obtained at "changedetection.net" site. We also compared its processing speed with other algorithms.

📄 PDF Abstract BibTeX arXiv:1805.09277

Code (0)

등록된 구현이 없습니다.

Tasks

Motion Detection

Methods 이 논문이 사용한 방법론

SPEED The monocular depth estimation (MDE) is the task of estimating depth from a single frame. This information is an essential knowledge in many computer vision tasks such as scene…

Similar Papers 제목 키워드 기반

Motion-guided small MAV detection in complex and non-planar scenes

2024-10-14 · Hanqing Guo, Canlun Zheng, Shiyu Zhao

In recent years, there has been a growing interest in the visual detection of micro aerial vehicles (MAVs) due to its importance in numerous applications. However, the existing methods based on either appearance or motio…

Multi-Object TrackingObject Tracking

Decoupled Motion Representation Learning for Moving Infrared Small Target Detection

2026-06-13 · Guoyi Zhang, Peiwen Wu, Han Wang, Xiangpeng Xu 외 arxiv

Infrared small target detection in dynamic scenes remains challenging due to the highly coupled motions among targets, imaging platforms, and dynamic backgrounds. Existing multi-frame methods usually perform implicit tem…

Representation Learning

CAKE: Real-time Action Detection via Motion Distillation and Background-aware Contrastive Learning

2026-03-25 · Hieu Hoang, Dung Trung Tran, Hong Nguyen, Nam-Phong Nguyen arxiv

Online Action Detection (OAD) systems face two primary challenges: high computational cost and insufficient modeling of discriminative temporal dynamics against background motion. Adding optical flow could provides stron…

Online Action DetectionContrastive Learning

Temporal-Emerged Prompting for Segment Anything in Multiframe Infrared Small Target Detection

2026-06-26 · Yinghui Xing, Donghao Chu, Shizhou Zhang, Di Xu arxiv

Accurately localizing and segmenting small targets in low signal-to-noise ratio (SNR) infrared sequences remains a challenging task. Since targets are often indistinguishable from the background in individual frames, exi…

Interactive Segmentation

Research on dynamic target detection and tracking system of hexapod robot

2019-12-04 · Dexin Wang

Dynamic target detection and target tracking are hot issues in the field of image. In order to explore its application value in the field of mobile robot, a dynamic target detection and tracking system is designed based …

Motion CompensationMoving Object Detectionobject-detectionObject Detection