This paper proposes the detection method of occluded moving objects using occlusion activity detection algorithm. When multiple objects are occluded between them, a simultaneous feature based tracking of multiple objects using tracking filters fails. To estimate feature vectors such as location, color, velocity, and acceleration of a target are critical factors that affect the tracking performa...

By using the knowledge of facial structure and temperature distribution, this paper proposes an automatic eye localization method from long wave infrared thermal images both with eyeglasses and without eyeglasses. First, with the help of support vector machine classifier, three gray-projection features are defined to determine whether a subject is with eyeglasses. For subjects with eyeglasses, ...

In this paper, we propose a novel on-line visual tracking framework based on Siamese matching network and metalearner network which runs at real-time speed. Conventional deep convolutional feature based discriminative visual tracking algorithms require continuous re-training of classifiers or correlation filters for solving complex optimization tasks to adapt to the new appearance of a target o...

Visual tracking systems using background subtraction have been very popular largely due to its efficiency to extract moving objects. However, such systems often compute the reference background by assuming no moving objects are present during the initialization stage, though the assumption may not be practical. We propose an automatic way to perform background initialization using a probabilist...

The number of bug reports in complex software increases dramatically. Since bugs are still triaged manually, bug triage or assignment is a labor-intensive and time-consuming task. Without knowledge about the structure of the software, testers often specify the component of a new bug incorrectly. Meanwhile, it is difficult for triagers to determine the component of the bug only by its descriptio...

Detection of acoustic events (AED) that take place in a meeting-room environment becomes a difficult task when signals show a large proportion of temporal overlap of sounds, like in seminar-type data, where the acoustic events often occur simultaneously with speech. Whenever the event that produces the sound is related to a given position or movement, video signals may be a useful additional so...

We present here a head-mounted gaze tracking system for the study of visual behavior in unconstrained environments. The system is designed both for adults and for infants as young as 1 year of age. The system uses two CCD cameras to record a very wide field of view (96◦ × 96◦) that allows to study both central and peripheral vision. A small motor-driven mirror allows to obtain the direction of ...

Methods: Sixty healthy ASA class I or II, term (≥37weeks’ gestation), nulliparous women were recruited in our study. Epidural analgesia was initiated with a solution of 0.15% ropivacaine 10 mL and maintained with 0.12% ropivacaine combined with fentanyl 2ug/mL by continuous epidural infusion at a rate of 5mL/h and combined with a patient-controlled epidural analgesia bolus of 5 mL and intermitt...

This paper addresses the problem of adapting an existing object detector to the characteristics of the environment in an unsupervised manner. The technique aims to reject all the false positive detections by exploiting the information from the environment and from the tracking system. We follow the intuition that similar characteristics are shared among the objects that are present in the same ...

Visual target tracking is a long-standing problem in the domain of computer vision. There are numerous methods proposed over several years. A recent trend in visual tracking has been target representation and tracking using saliency models inspired by the attentive mechanism of the human. Motivated to investigate the usefulness of such target representation scheme, we study several target repre...