Keywords: تشخیص عابر پیاده; Pedestrian detection; Part detectors; Multi-label learning; Occlusion handling; Detector integration; Context; 00-01; 99-00;
مقالات ISI تشخیص عابر پیاده (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: تشخیص عابر پیاده; Pedestrian detection; Multispectral information; CNNs;
Keywords: تشخیص عابر پیاده; Surveillance event detection; Pedestrian dataset; Pedestrian detection; Cascade CNN;
Keywords: تشخیص عابر پیاده; Multi-spectral sensor fusion; Pedestrian detection; Channel weighting fusion; Probabilistic fusion;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Human tracking; Deep learning; Convolutional neural network; Machine learning; Artificial neural network; Features extraction;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Video surveillance; Motion history image; Nonlinear filtering; 41A05; 41A10; 65D05; 65D17;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Deep convolutional neural network; 41A05; 41A10; 65D05; 65D17;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Local binary patterns; Histogram of oriented gradient; Sparse representation; K-SVD;
Keywords: تشخیص عابر پیاده; Proposal generation; Infrared image; Superpixel segmentation; Center-surround feature; Pedestrian detection;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Face detection; PDF; Neighborhood differential statistic patterns;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Intelligent vehicle; Location classification; Action recognition;
Keywords: تشخیص عابر پیاده; Regionlet; Pedestrian detection; Selective max pooling; Selective difference pooling; Boosted tree-structured classifier;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Neural features; Fully convolutional network;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Feature learning; Latent semantics; Discriminative power;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Deep neural networks; Convolutional neural networks; Share features;
Keywords: تشخیص عابر پیاده; Deep learning; Pedestrian detection; Convolutional Neural Networks; Optimization;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Intra-class variation; Segmentation by weighted aggregation; Probability measure; Perceptual hash; BING; Estimation proposals; HASP
Keywords: تشخیص عابر پیاده; Local descriptor; Sparse coding; Scale invariance; Pedestrian detection; Multi-dictionary learning
Keywords: تشخیص عابر پیاده; Pedestrian detection; Sparse representation; Thermal images; Feature fusion;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Moving object segmentation; Pedestrian classification; Difference of Gaussian; Local directional pattern; Quantization; Structure elements descriptor; Rotation and scale invariant descriptor; Infrared imagery; SVM classification; 68U
Keywords: تشخیص عابر پیاده; Pedestrian detection; Histogram of Oriented Gradients; Shape context; Chamfer matching
Keywords: تشخیص عابر پیاده; Pedestrian detection; Binocular vision; Matching; Fusion; Double-pedestrian detection
Keywords: تشخیص عابر پیاده; Ensemble of detection systems; Multiple feature extractors; Multiple classifiers; Pedestrian detection; Reinforcement learning; Bayesian network
Keywords: تشخیص عابر پیاده; Domain adaptation; Pedestrian detection; Feature learning; Scene-specific detector; Transfer learning;
Keywords: تشخیص عابر پیاده; Object detection; Deformable part models; Pedestrian detection;
Keywords: تشخیص عابر پیاده; Machine learning; Pedestrian detection; Human-specific; Multiple instance learning;
Keywords: تشخیص عابر پیاده; Human behavior analysis; Pedestrian detection; Multi-spectral; Near-infrared; Latent SVM;
Keywords: تشخیص عابر پیاده; AEB systems; Pedestrian detection; Safety performance; Accident reconstruction;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Partial occlusions; Co-occurrence relations; Visibility status
Keywords: تشخیص عابر پیاده; Sample purity; Pedestrian detection; Machine learning; Partial occlusion; INRIA person data set; Labelling
Keywords: تشخیص عابر پیاده; Pedestrian detection; Multiple cameras; Multi-view model; Bayesian inference; Height adaptive projection
Keywords: تشخیص عابر پیاده; Pedestrian detection; Small-scale pedestrian; Global information; LBP; Histogram equalization pre-process; Outdoor video surveillance; Gaussian low-pass filtering; Global-local integrated model;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Contour description; Self-similarity; Feature selection; Cascade;
Keywords: تشخیص عابر پیاده; Pedestrian detection; Computer vision; Pattern recognition; Intelligent vehicle highway systems; AdaBoost
Keywords: تشخیص عابر پیاده; Pedestrian detection; Non-tensor product wavelet filter; ROI; Shapelet feature; MB-LBP; IFLDA
Keywords: تشخیص عابر پیاده; Pedestrian detection; Sparsity; Multi-view; Real-time; Low-resolution
Keywords: تشخیص عابر پیاده; Data fusion; Context; Laser scanner; Computer vision; Pedestrian detection
Keywords: تشخیص عابر پیاده; Pedestrian detection; Movement Feature Space; Histograms of oriented level lines; Adaboost cascade; Linear SVM
Keywords: تشخیص عابر پیاده; Pedestrian detection; Far-infrared; ROIs generation; HOG; SVM; Automotive driving assistance systems;
Pedestrian detection based on faster R-CNN in nighttime by fusing deep convolutional features of successive images
Keywords: تشخیص عابر پیاده; Pedestrian detection; Faster R-CNN; Nighttime image; Fusion of deep convolutional features;
Pedestrian detection at night time in FIR domain: Comprehensive study about temperature and brightness and new benchmark
Keywords: تشخیص عابر پیاده; Pedestrian detection; Infrared; Temperature; Radiometry; Thermoregulation; Brightness; Contrast;
Cluster-based adaptive SVM: A latent subdomains discovery method for domain adaptation problems
Keywords: تشخیص عابر پیاده; SVM-based da method; Latent subdomains discovery methods; Domain adaptation; Image classification; Pedestrian detection;
Design of coupled strong classifiers in AdaBoost framework and its application to pedestrian detection
Keywords: تشخیص عابر پیاده; AdaBoost; Coupled strong classifier; Complementarity; Pedestrian detection
A new pedestrian detection method based on combined HOG and LSS features
Keywords: تشخیص عابر پیاده; Pedestrian detection; Feature combination; SVM; Adaboost
Integrating 3D structure into traffic scene understanding with RGB-D data
Keywords: تشخیص عابر پیاده; Traffic scene understanding; Depth data; 3D structure; Vehicle detection; Pedestrian detection; Overtaking warning
Cognitive pedestrian detector: Adapting detector to specific scene by transferring attributes
Keywords: تشخیص عابر پیاده; Detector adaption; Transfer learning; Sparse coding; Pedestrian detection
Moving object classification using local shape and HOG features in wavelet-transformed space with hierarchical SVM classifiers
Keywords: تشخیص عابر پیاده; Pedestrian detection; Car detection; Multi-class object classification; Haar wavelet transform; Histogram of oriented gradients (HOG); Support vector machines;
MutualCascade method for pedestrian detection
Keywords: تشخیص عابر پیاده; FDF; GAB; MutualCascade; Pedestrian detection; Feature selection
Hybrid cascade boosting machine using variant scale blocks based HOG features for pedestrian detection
Keywords: تشخیص عابر پیاده; Cascade boosting; Histograms of oriented gradient; Hybrid machine; Pedestrian detection; Support vector machines; Variant-scale block based HOG features
Combining patch matching and detection for robust pedestrian tracking in monocular calibrated cameras
Keywords: تشخیص عابر پیاده; Patch-based tracking; Weighted vector median filters; Homography; Pedestrian tracking; Pedestrian detection