In this paper, we present a interactive Event Detection (interactiveED) system evaluated in TRECVID 2013 competition. The proposed system is evaluated on all the seven event categories. Two channels of raw features: STIP-HOG/HOF and SURF/MHI-HOG – are extracted from down-sampled surveillance video frames. A Bag Of Words model is used to generate representations of segments of surveillance video...

Video based action recognition has been an active area of research in recent years. This is due to the many potential applications such as video surveillance, video content analysis, human computer interaction and video archiving. The ongoing trend of research deals with many complex action recognition problems such as appearance, pose and illumination variations but problem video quality is st...

MIRJANA POPOVSKA1, VERA RADOJKOVA-NIKOLOVSKA1, ANA MINOVSKA2*, DORIANA AGOP FORNA3, ILIJANA MURATOVSKA1, NORINA CONSUELA FORNA4 1 St. Cyril and Methodius University, Faculty of Dentistry, Department of Oral Pathology and Periodontology, 17 Vodnjanska St. 1000 Skopje, Republic of Macedonia 2 University “Gotse Delchev” of Shtip, Faculty of Medical Sciences, Department of Studies of Dental Medicin...

According to the data of World Health Organization, globally, in 2018, 18 million new cases cancer were registered, which 2.09 (11.6%) diagnosed with lung and 9.6 deaths, 1.76 (18.4) are cancer. The overall standardized incidence rate by age is 25% higher men than women. Statistical taken from Center for public health – Shtip, shows that more common people aged 55-65, while women there no domin...

Circadian rhythms have evolved in a wide variety of organisms, allowing them to anticipate the 24-h diurnal cycle of daylight and darkness and adjust endogenous biological processes to this predictable cycle. This rhythm, which is regularly entrained by the actual onset of daylight, involves a set of circadian clock–regulated genes that operate in a feedback-controlled loop to ensure proper exp...

Recognizing human actions play an important role in applications like video surveillance. The recent past has witnessed an increasing research on view-invariant action recognition. Huang et al. proposed a framework based on discriminative model for human action recognition. This model uses STIP (Space – Time Interest Point) to extract motion features and view invariants. Then a discriminative m...