An empirical review of deep learning frameworks for change detection: Model design, experimental frameworks, challenges and research needs
M Mandal, SK Vipparthi - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Visual change detection, aiming at segmentation of video frames into foreground and
background regions, is one of the elementary tasks in computer vision and video analytics …
background regions, is one of the elementary tasks in computer vision and video analytics …
Deep learning-based moving object segmentation: Recent progress and research prospects
R Jiang, R Zhu, H Su, Y Li, Y Xie, W Zou - Machine Intelligence Research, 2023 - Springer
Moving object segmentation (MOS), aiming at segmenting moving objects from video
frames, is an important and challenging task in computer vision and with various …
frames, is an important and challenging task in computer vision and with various …
Sparsely connected CNN for efficient automatic modulation recognition
This paper proposes a convolutional neural network (CNN), called SCGNet, for low-
complexity and robust modulation recognition in intelligent communication receivers …
complexity and robust modulation recognition in intelligent communication receivers …
Traffic sign recognition based on semantic scene understanding and structural traffic sign location
Traffic sign recognition (TSR) plays an important role in driving assistance system and traffic
safety insurance. However, existing methods focus on extracting features of traffic signs and …
safety insurance. However, existing methods focus on extracting features of traffic signs and …
Exploring dense context for salient object detection
Contexts play an important role in salient object detection (SOD). High-level contexts
describe the relations between different parts/objects and thus are helpful for discovering the …
describe the relations between different parts/objects and thus are helpful for discovering the …
Multi‐frame based adversarial learning approach for video surveillance
Foreground-background segmentation (FBS) is one of the prime tasks for automated video-
based applications like traffic analysis and surveillance. The different practical scenarios like …
based applications like traffic analysis and surveillance. The different practical scenarios like …
Pixel difference convolutional network for rgb-d semantic segmentation
J Yang, L Bai, Y Sun, C Tian, M Mao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
RGB-D semantic segmentation can be advanced with convolutional neural networks due to
the availability of Depth data. Although objects cannot be easily discriminated by just the 2D …
the availability of Depth data. Although objects cannot be easily discriminated by just the 2D …
An end-to-end edge aggregation network for moving object segmentation
Moving object segmentation in videos (MOS) is a highly demanding task for security-based
applications like automated outdoor video surveillance. Most of the existing techniques …
applications like automated outdoor video surveillance. Most of the existing techniques …
Multi-level traffic-responsive tilt camera surveillance through predictive correlated online learning
In urban traffic management, the primary challenge of dynamically and efficiently monitoring
traffic conditions is compounded by the insufficient utilization of thousands of surveillance …
traffic conditions is compounded by the insufficient utilization of thousands of surveillance …
A novel incremental learning driven instance segmentation framework to recognize highly cluttered instances of the contraband items
Screening cluttered and occluded contraband items from baggage X-ray scans is a
cumbersome task even for the expert security staff. This article presents a novel strategy that …
cumbersome task even for the expert security staff. This article presents a novel strategy that …