PROCEEDINGS VOLUME 10649
SPIE DEFENSE + SECURITY | 15-19 APRIL 2018
Pattern Recognition and Tracking XXIX
Editor(s): Mohammad S. Alam
Proceedings Volume 10649 is from: Logo
SPIE DEFENSE + SECURITY
15-19 April 2018
Orlando, Florida, United States
Front Matter: Volume 10649
Proc. SPIE 10649, Front Matter: Volume 10649, 1064901 (8 June 2018); doi: 10.1117/12.2501434
Novel Pattern Recognition and Tracking Systems
Proc. SPIE 10649, A systematic evaluation of recent deep learning architectures for fine-grained vehicle classification, 1064902 (27 April 2018); doi: 10.1117/12.2305062
Proc. SPIE 10649, A simplification of the Shor quantum factorization algorithm employing a quantum Hadamard transform, 1064903 (27 April 2018); doi: 10.1117/12.2309468
Proc. SPIE 10649, Deep neural network for precision multi-band infrared image segmentation, 1064904 (27 April 2018); doi: 10.1117/12.2305134
Novel Detection Algorithms
Proc. SPIE 10649, Image-based flight data recording for United States Air Force aircraft, 1064905 (27 April 2018); doi: 10.1117/12.2299851
Proc. SPIE 10649, Efficient anomaly detection algorithms for summarizing low quality videos, 1064906 (27 April 2018); doi: 10.1117/12.2303764
Proc. SPIE 10649, The development of a video browsing and video summary review tool, 1064907 (27 April 2018); doi: 10.1117/12.2303654
Proc. SPIE 10649, Comparative study of local binary pattern and its shifted variant for osteoporosis identification, 1064908 (27 April 2018); doi: 10.1117/12.2304721
Proc. SPIE 10649, A composite framework for segregating x-rays of osteoporotic cases from healthy controls, 1064909 (27 April 2018); doi: 10.1117/12.2304779
Neural Network Based Detection and Tracking
Proc. SPIE 10649, Wildland fires detection and segmentation using deep learning, 106490B (27 April 2018); doi: 10.1117/12.2304936
Proc. SPIE 10649, ASIFT based recognition of fixed shape moving objects and tracking via modified particle filters, 106490C (9 May 2018); doi: 10.1117/12.2304699
Motion Sensing and Estimation Algorithms
Proc. SPIE 10649, Nanosensor network for 3D+T motion analysis, 106490D (27 April 2018); doi: 10.1117/12.2304642
Proc. SPIE 10649, ATR performance improvement using images with corrupted or missing pixels, 106490E (30 April 2018); doi: 10.1117/12.2303659
Proc. SPIE 10649, Anomaly detection in low quality traffic monitoring videos using optical flow, 106490F (30 April 2018); doi: 10.1117/12.2303651
Proc. SPIE 10649, A fast method for detecting and estimating motion in radar images using normalized cross-correlation, 106490G (30 April 2018); doi: 10.1117/12.2304039
Proc. SPIE 10649, Automated WAMI system calibration procedure based on multi-scale fusion and adaptive data association for geo-coding error correction, 106490H (30 April 2018); doi: 10.1117/12.2304680
Proc. SPIE 10649, Vehicle tracking in full motion video using the progressively expanded neural network (PENNet) tracker, 106490I (30 April 2018); doi: 10.1117/12.2305391
Proc. SPIE 10649, Road sign identification and geolocation using JTC and VIAPIX module, 106490J (30 April 2018); doi: 10.1117/12.2312490
Biometric Recognition
Proc. SPIE 10649, PCA and LDA based classifiers for osteoporosis identification, 106490K (30 April 2018); doi: 10.1117/12.2304728
Proc. SPIE 10649, Biometric based human recognition using gait energy images, 106490L (30 April 2018); doi: 10.1117/12.2304737
Proc. SPIE 10649, A comparative study of CFs, LBP, HOG, SIFT, SURF, and BRIEF techniques for face recognition, 106490M (30 April 2018); doi: 10.1117/12.2309454
Proc. SPIE 10649, Convolutional neural network based image segmentation: a review, 106490N (30 April 2018); doi: 10.1117/12.2304711
Deep Learning Based Pattern Recognition
Proc. SPIE 10649, Stochastic gradient descent implementation of the modified forward-backward linear prediction, 106490R (30 April 2018); doi: 10.1117/12.2305101
Proc. SPIE 10649, Approximate regularized least squares algorithm for classification, 106490S (30 April 2018); doi: 10.1117/12.2305075
Proc. SPIE 10649, Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks , 106490T (30 April 2018); doi: 10.1117/12.2305151
Proc. SPIE 10649, Augmented reality data generation for training deep learning neural network, 106490U (30 April 2018); doi: 10.1117/12.2305202
Novel Filtering Strategies
Proc. SPIE 10649, Real-time holographic heterodyne spatial filtering, 106490V (30 April 2018); doi: 10.1117/12.2304785
Proc. SPIE 10649, Real-time holographic deconvolution for image differentiation, 106490W (30 April 2018); doi: 10.1117/12.2304787
Proc. SPIE 10649, Low-complexity algorithm using DCT approximation for POST-HEVC standard , 106490Y (30 April 2018); doi: 10.1117/12.2309457
Proc. SPIE 10649, Comparison of SIFT and ASIFT based filters for better recognition and tracking in a remote scene environment, 106490Z (30 April 2018); doi: 10.1117/12.2305266
Proc. SPIE 10649, A multi-component based volumetric directional pattern for texture feature extraction from hyperspectral imagery , 1064910 (30 April 2018); doi: 10.1117/12.2309317
Proc. SPIE 10649, Energy criterion in correlation-based face recognition applications, 1064911 (30 April 2018); doi: 10.1117/12.2312500
Poster Session
Proc. SPIE 10649, Bayesian belief network modeling of direct numerically simulated imagery variables for sub-surface structure diagnostics, 1064912 (30 April 2018); doi: 10.1117/12.2301255
Proc. SPIE 10649, Pre-screener for automatic detection of road damage in SAR imagery via advanced image processing techniques, 1064913 (30 April 2018); doi: 10.1117/12.2305052
Proc. SPIE 10649, Parallax rectification and stabilization technique for multiple objects tracking in wide area surveillance system, 1064914 (30 April 2018); doi: 10.1117/12.2316486
Proc. SPIE 10649, Benchmarking deep learning trackers on aerial videos, 1064915 (30 April 2018); doi: 10.1117/12.2323866
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