Bagian dari siklus sistim penjaminan mutu internal PPEPP adalah evaluasi dan pengendalian. Di STIP ini menjadi salah satu tusi (tugas fungsi) Pusat Penjaminan Mutu c.q Unit Monitoring Audit. 
 Tujuan penelitian untuk mendeskripsikan bahwa penerapan audit berbasis risiko dalam kegiatan bisa berdampak pada peningkatan Pendidikan.
 Hasil identifikasi terkait pendidikan pengelolaan inhere...

Space-Time Interest Points (STIP) are among all the interesting features which can be extracted from videos; they are simple, robust and they allow a good characterization of a set of regions of interest corresponding to moving objects in a three-dimensional observed scene. In this study, we show how the resulting features often reflect interesting events that can be used for a compact represen...

In this paper, we present a general event detection system evaluated by the Surveillance Event Detection (SED) task of TRECVID 2012 campaign. The proposed system is evaluated on all the seven event categories of the SED task. In our system, a sliding temporal window is employed as the detection unit, which is represented by a histogram of spatio-temporal features including STIP-HOG/HOF and SURF...

This paper presents a general surveillance event detection system that participated in the interactive Surveillance Event Detection (iSED) task of TRECVID 2013. In the proposed system, a set of spatio-temporal features including Space-Time Interest Points (STIP) and Dense Trajectories are extracted, and a sliding temporal window is employed as the detection unit. Fisher Vector is used to encode...

Recognizing human activities from video data is being leveraged for surveillance and human-computer interaction applications. In this paper, we introduce the problem of time-slice activity recognition which aims to explore human activity at a smaller temporal granularity. Time-slice recognition is able to infer human behaviors from a short temporal window. It has been shown that the temporal sl...

In this paper, we propose a novel Spatiotemporal Interest Point (MC-STIP) detector based on the coherent motion pattern around each voxel in videos. Our detector defines the local peaks of optical flow as the interest points in the motion coherence volumes of videos. A concatenating histogram of 2D gradients is introduced to describe each interest point as the descriptor. Moreover, we introduce...

Whereas the action recognition community has focused mostly on detecting simple actions like clapping, walking or jogging, the detection of fights or in general aggressive behaviors has been comparatively less studied. Such capability may be extremely useful in some video surveillance scenarios like in prisons, psychiatric or elderly centers or even in camera phones. After an analysis of previo...