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- Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model30
A novel pixelwise and nonparametric moving object detection method is proposed, which contains both spatial and temporal features and can accurately detect the dynamic background.
- Analyzing Polarization Transmission Characteristics in Foggy Environments Based on the Indices of Polarimetric Purity27
Results demonstrate that the IPPs can describe the depolarization performances of disperse systems effectively and can transmit information in high fidelity better than the DoP.
- Directed alkynylation of unactivated C(sp 3 )–H bonds with ethynylbenziodoxolones mediated by DTBP25
Initial mechanistic investigation indicates that the reaction may involve a radical pathway, and the reaction performs smoothly under mild conditions and shows excellent functional-group tolerance.
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- Small Flying Object Classifications Based on Trajectories and Support Vector Machines15
This paper presents an alternative approach to identify and classify the group of small flying objects especially drones from others, notably birds and kites (inclusive of kiteflying), in near field, by examining the pattern of their flight paths and trajectories by using multiple classification models.
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- Learning Dynamic Weight Adjustment for Spatial-Temporal Trajectory Planning in Crowd Navigation9
A dynamic weight adjustment scheme using a neural network to predict the optimal weights of objectives in an optimization-based motion planner and adopt a spatial-temporal trajectory planner to achieve a balance among safety, efficiency, and goal achievement in complex and dynamic environments.
- Lesion Segmentation in Gastroscopic Images Using Generative Adversarial Networks9
The experimental results show that the dice, accuracy, and recall are significantly better than the existing models, which proves the effectiveness of this method and can meet the needs of clinical diagnosis and treatment.
- Performance study of feature descriptors for human detection on depth map9
Evaluating the performance of the typical features on depth map shows that the new feature outperforms other descriptors, and is compared for human detection on the dataset through theoretic analysis and simulation experiments.
- A Depth Map Generation Algorithm Based on Saliency Detection for 2D to 3D Conversion8
A novel algorithm to estimate depth information from a video via scene classification algorithm that can achieve realistic 3D effects and yield satisfactory results, while the perception scores of anaglyph images lie between 6.8 and 7.8.
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- Joint optimization technique of image enhancement and object detection based on a genetic algorithm for underwater target detection6
The proposed novel joint optimization framework for underwater image enhancement and object detection driven by a genetic algorithm (GA) significantly increases the detection performance of state-of-the-art detectors, including YOLOv5, Faster R-CNN, and RetinaNet, in challenging underwater environments.
- Jointly Feature Learning and Selection for Robust Tracking via a Gating Mechanism6
This work proposes a novel visual tracking method via a point-wise gated convolutional deep network (CPGDN) that jointly performs the feature learning and feature selection in a unified framework and combines an edge box-based object proposal method to further improve the tracking accuracy.
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- Robust feature learning for online discriminative tracking without large-scale pre-training3
This paper designs a PCA filter bank-based convolutional neural network architecture to learn robust features online with a few positive and negative samples in the high-dimensional feature space and uses a simple soft-thresholding method to produce sparse features that are more robust to target appearance variations.
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- Real-time Disparity Map Reconstruction with On-board FPGA by Semi-global Matching and Weighted Least Square Filtering1
A real-time disparity map estimation framework on FPGA, combined with an effective post-processing method that can significantly improve the accuracy of the disparity map and remove large estimation errors is proposed.
- Design of the Hotel Monitoring System for the Image and Video Collection1
The proposed system uses the Linux system to accomplish the intelligent video surveillance and the image acquisition process and the embedded BOA server to designed an intelligent video image acquisition system.
- Coarse-to-fine visual tracking with PSR and scale driven expert-switching1
A coarse-to-fine tracker which integrates a kernelized correlation filter (KCF) based tracker with detection proposal and a multi-expert based tracker via a simple yet effective Peak to Sidelobe Ratio (PSR) and scale driven schema is proposed.
- Automatic correction system of the laminating machine based on image processing1
In this thesis, laminating machine automatic correction system has been designed, and collected images has been preprocessed by the automatic Correction system to output the deviation calculation and deviation data of the X,Y,R direction of the acquired images.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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