This research was fully supported by the Croatian Science Foundation under the project IP-2016-06-8345 "Automatic recognition of actions and activities in multimedia content from the sports domain" (RAASS).

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The study focused on the influences of different crises situations on development of business continuity management. Empirical study was conducted in Croatian companies via quantitative research. Hypothesized model for development of business continuity management was tested. Crisis situation was measured as a composite variable based on three elements: recovery time period, impact on corporate profits and amount of operations affected by the crisis. Correlation between crisis situations and development of business continuity management indicated that the increase of the risk of a crisis situation will increase the degree of development of business continuity management. Furthermore, strategic and operational risks influence more on development of business continuity management than natural disasters. Also, unintended risks influence the business continuity management development more than intentional risks. The second part of the research focused on the influence of likelihood of recurrence of the crisis situation on the development of business continuity management. The relationship between likelihood of crises recurrence and business continuity management development was not determined. The main contribution of the research lies in modelling business continuity management development related to different crises situations and likelihood of crises recurrence.

This paper presents methods for human detection for application in the field of national security in the context of state border surveillance. Except in the context of state border security, the presented methods can be applied to monitor other protected object and infrastructure such as ports and airports, power plants, water supply systems, oil pipelines, etc. Presented methods are based on use of thermal imaging systems for the human detection, recognition and identification. In addition to methods for the detection of persons, are presented and methods for face recognition and identification of the person. The use of such systems has special significance in the context of national security in the domain of timely detection of illegal crossing of state border or illegal movement near buildings, which are of special importance for national security such as traffic infrastructure facilities, power plants, military bases, especially in mountain or forests areas. In this context, thermal imaging has significant advantages over the optical camera surveillance systems because thermal imaging is robust to weather conditions and due to such an infrared thermal system can successfully applied in any weather conditions, or the periods of the day. Featured are procedures that has human detection results as well as a brief survey of specific implementation in terms of the use of infrared thermal imagers mounted on autonomous vehicles (AV) and unmanned aerial vehicles (UAV). In addition to the above in this paper are described techniques and methods of face detection and human identification based on thermal image (thermogram).