Featured Application This work can be widely used in high-speed railway clearance
intrusion detection with image object classification and recognition. Abstract With the rapid …

Human action recognition is an important research topic in the field of computer vision due
to its application values. Recently, a variety of approaches based on deep learning features …

Foreign object intrusion is a great threat to high-speed railway safety operations. Accurate
foreign object intrusion detection is particularly important. As a result of the lack of intruding …

It is significant to detect railway intrusion for railway safety. Unlike indoors, the railway is a
complex environment with many interferences leading to false positives in the intrusion …

We introduce a framework to efficiently capture and identify the defects on the subway
tunnel surfaces. Specifically, we design a high-speed multi-camera-synchronous acquisition …

Automatic visual inspection of cracks on concrete surface has become increasingly important
for the health diagnosis of subway tunnel structures to prevent catastrophic failures. This …

We propose a new hybrid model algorithm that addresses the challenges of recognizing
multiple objects. Specifically, objects are recognized from massive, large-scale, and complex …

Railway intrusion seriously threatens railway safety and can cause enormous loss of life and
property. Therefore, railway intrusion detection is crucial for the safety of railway operation. …

For the images of crack defects of subway tunnel, traditional image processing algorithms is
hardly effective for dealing with problems existing in the image like uneven illumination or …

Different guided wave mode has different sensitivity to the defects of rail head, rail web and
rail base in the detection of rail defects using ultrasonic guided wave. A novel guided wave …