In a surveillance camera environment, the detection of standing-pigs in real-time is an important issue towards final goal 24-h tracking individual pigs. this study, we focus on depth-based with "moving noises", which appear every night commercial pig farm, but have not been reported yet. We first apply spatiotemporal interpolation technique to remove moving noises occurring depth images. Then, detect by utilizing undefined values around them. Our experimental results show that method...

A practical condition monitoring method is proposed for the fault diagnosis of railway point machines (RPMs) by considering difficulty obtaining in‐field failure data. Failures in RPMs have a significant effect on train operations, and it very crucial to detect abnormal conditions RPMs. However, generally difficult obtain data classifier training step. using dynamic time warping manage variation durations RPM movement without On basis experimental results with operated Korea, believed that...

Segmenting touching-pigs in real-time is an important issue for surveillance cameras intended the 24-h tracking of individual pigs. However, methods to do so have not yet been reported. We particularly focus on segmentation a crowded pig room with low-contrast images obtained using Kinect depth sensor. reduce execution time by combining object detection techniques based convolutional neural network (CNN) image processing instead applying time-consuming operations, such as optimization-based...

The fast detection of pigs is a crucial aspect for surveillance environment intended the ultimate purpose 24 h tracking individual pigs. Particularly, in realistic pig farm environment, one should consider various illumination conditions such as sunlight, but consideration has not been reported yet. We propose method to detect under by exploiting complementary information from depth and infrared images. By applying spatiotemporal interpolation, we first remove noises caused sunlight. Then,...

The use of IoT (Internet Things) technology for the management pet dogs left alone at home is increasing. This includes tasks such as automatic feeding, operation play equipment, and location detection. Classification vocalizations using information from a sound sensor an important method to analyze behavior or emotions that are alone. These sounds should be acquired by attaching dog, then classifying events (e.g., barking, growling, howling, whining). However, sensors tend transmit large...

Detecting replacement conditions of railway point machines is important to simultaneously satisfy the budget-limit and train-safety requirements. In this study, we consider classification subtle differences in aging effect-using electric current shape analysis-for purpose condition detection machines. After analyzing shapes after-replacement data then labeling each before-replacement data, can derive criteria that handle between "does-not-need-to-be-replaced" "needs-to-be-replaced" shapes....

For specific livestock such as pigs in a pigsty, many surveillance applications have been reported to consider their health for efficient management. pig applications, separating touching-pigs real-time is an important issue final goal of 24-hour tracking individual pigs. Although convolutional neural network (CNN)-based instance segmentation techniques can be applied this separation problem, collective performance accuracy-time may not satisfy the required performance. In study, we improve...

Caring weaning pigs is important in the management of a group-housed pig farm.In this study, we propose an automatic method for detecting low-weight pigsty.We install top-view camera room to detect motion area each from video obtained.Then, automatically by comparing size pig.Based on experimental results, confirm that proposed can relatively without any manual inspection or measurement actual weight farm administrator.

Although the typical sensor-server model has been widely used in intelligent-surveillance applications, workload increases for centralized server as number of sensors increases; therefore, provision a scalable performance requires distribution centralized-server into sensors. Due to limited resources sensor side, however, resource-efficient real-time processing technique is required. In this paper, sensor-side surveillance which parallel on CPU-GPU hybrid-computing devices proposed. The...

Electrical point machines (EPM) must be replaced at an appropriate time to prevent the occurrence of operational safety or stability problems in trains resulting from aging budget constraints. However, it is difficult replace EPMs effectively because conditions depend on operating environments, and thus, a guideline typically not suitable for replacing most timely moment. In this study, we propose method classification detection effect facilitate replacement EPMs. We employ support vector...

To reduce huge losses in pig farms, weaning pigs with weak immune systems are required to be carefully supervised. Even if various researches have been performed for livestock monitoring environment, segmenting each from touching is still entrenched as a difficult problem. In this paper, we propose real-time segmentation method moving by using motion information 24-h video surveillance system. The experimental results the videos obtained domestic farm illustrated possibility our proposed real-time.

최근, 축산 농가에서 돈사 내 개별 돼지들의 자동 영상 모니터링 기법이 중요한 이슈로 떠오르고 있다. 현재까지 이를 위한 다양한 연구들이 소개되어 왔지만, 아직도 추가적인 연구 노력이 요구된다. 특히, 혼잡한 돈방에서 움직이는 근접한 객체 식별을 연구가 영상처리 분야 입장에서 본 논문에서는 감시카메라 환경에서 해법으로써 시공간 정보와 영역 확장 기법을 이용한 효율적인 분할 방법론을 새롭게 제안한다. 실제로 세종에 위치한 한 돈사에서 취득한 정보를 이용하여 논문에서 제안한 시스템의 성능을 실험적으로 검증하였다. Recently, automatic video monitoring of individual pigs is emerging as an important issue in the management group-housed pigs. Although a rich variety studies have been reported on techniques intensive pig...

The crowded environment of a pig farm is highly vulnerable to the spread infectious diseases such as foot-andmouth disease, and studies have been conducted automatically analyze behavior pigs in through video surveillance system using top-view camera.Although it required correctly separate overlapping-pigs for tracking each individual pigs, extracting boundaries fast accurately challenging issue due complicated occlusion patterns X shape T shape.In this study, we propose accurate method not...

Recently, the biometric-based authentication systems such as FIDO (Fast Identity Online) are increased in mobile computing environments.The performed on devices with battery, improving energy efficiency is important issue.In case, size of images (i.e., face, fingerprint, iris, and etc.) affects both recognition accuracy consumption, hence tradeoff analysis between consumption necessary.In this paper, we propose an energy-efficient way to authenticate based biometric information multimedia...