Jangsik Park

  • Citations Per Year
Learn More
In this paper, we develop wireless optical monitoring system using ZigBee network and Fiber Bragg Grating (FBG) sensor. FBG sensors are manufactured using the 248nm excimer laser and phase masks. The adopted wireless networking between PC and FBG interrogator is ZigBee, because ZigBee is a specification for a suite of high level communication protocols(More)
Object detection and tracking have been studied separately in most cases. Particle filtering has proven very successful for non-linear and nonGaussian estimation problems. This paper presents a new method for tracking moving vehicles with temporal disappearance. The proposed method can continue tracking after disappearance. Color distribution of objects is(More)
a built-in system was implemented with a GPU in order to recognize the license plate number without detection line. The deep-learning network to recognize the license plate number of the vehicle uses relatively simple AlexNet. Tests confirm that the vehicle license plate can be effectively recognized on the Jetson TX1 board system.
This paper is an approach for pedestrian detection and tracking with infrared imagery. The detection phase is performed by AdaBoost algorithm based on Haar-like features. AdaBoost classifier is trained with datasets generated from infrared images. The number of negative images used for training with AdaBoost algorithm is 3000. For positive training, 1000(More)
There are many object detection and tracking algorithms and mechanisms that have been developed for various environments and for various reasons, all with their strengths and weaknesses. A real-life application of object detection should be as fast as possible, and as lightweight as possible given the circumstances of many people in a single area increasing(More)