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Pedestrian's Intention Prediction Based on Fuzzy Finite Automata and Spatial-temporal Features., , , and . Video Surveillance and Transportation Imaging Applications, page 1-6. Society for Imaging Science and Technology, (2016)Multiple pedestrian tracking using Siamese random forests and shallow Convolutional Neural Networks., , and . Autonomous Vehicles and Machines, page 1-5. Society for Imaging Science and Technology, (2020)Multiple pedestrian tracking in moving vehicle using online learning of random ferns and feature descriptor of pre-trained shallow Convolutional Neural Networks., , and . Autonomous Vehicles and Machines, page 1-4. Society for Imaging Science and Technology, (2018)Automatic Salient-Object Extraction Using the Contrast Map and Salient Points., , and . PCM (2), volume 3332 of Lecture Notes in Computer Science, page 138-145. Springer, (2004)Multi-person Tracking Based on Body Parts and Online Random Ferns Learning of Thermal Images., , and . WACV, page 41-46. IEEE Computer Society, (2015)Online learning based multiple pedestrians tracking in thermal imagery for safe driving at night., , and . Intelligent Vehicles Symposium, page 78-79. IEEE, (2016)Lightweight surrogate random forest support for model simplification and feature relevance., , and . Appl. Intell., 52 (1): 471-481 (2022)A novel framework for white blood cell segmentation based on stepwise rules and morphological features., , , , and . Image Processing: Machine Vision Applications, volume 7877 of SPIE Proceedings, page 78770H. SPIE, (2011)Vision based forest smoke detection using analyzing of temporal patterns of smoke and their probability models., , and . Image Processing: Machine Vision Applications, volume 7877 of SPIE Proceedings, page 78770A. SPIE, (2011)Keyword Annotation of Medical Image with Random Forest Classifier and Confidence Assigning., , , and . CGIV, page 156-159. IEEE Computer Society, (2011)