A major issue for video surveillance embedded systems is the need to continuously perform a number of highly demanding operations even when the analyzed scene does not show peculiar or interesting features, so that power consumption is a critical issue. In this paper we present a low-power multimodal embedded video surveillance system aimed at detecting objects abandoned/removed in/from a static monitored scene. Energy-awareness is achieved by means of an efficient and scalable objects abandon/removal detection algorithm, a Linux governor that controls CPU frequency and operating mode so as to establish an optimal trade-off between fulfilling the application efficiencyaccuracy requirements and maximizing battery life and, finally, a pyroelectric infrared sensor that allows to wake up the CPU only when video processing is actually needed.
Energy-Aware Objects Abandon / Removal Detection / A. Lanza; M. Magno; D. Brunelli; L. Di Stefano; L. Benini. - ELETTRONICO. - (2011), pp. 6027373.443-6027373.448. (Intervento presentato al convegno Workshop on Resource Aware Sensor and surveillance NETworkS (RAWSNETS), in conjunction withAVSS 2011 tenutosi a Klagenfurt (Austria) nel 30 Agosto 2011) [10.1109/AVSS.2011.6027373].
Energy-Aware Objects Abandon / Removal Detection
LANZA, ALESSANDRO;MAGNO, MICHELE;BRUNELLI, DAVIDE;DI STEFANO, LUIGI;BENINI, LUCA
2011
Abstract
A major issue for video surveillance embedded systems is the need to continuously perform a number of highly demanding operations even when the analyzed scene does not show peculiar or interesting features, so that power consumption is a critical issue. In this paper we present a low-power multimodal embedded video surveillance system aimed at detecting objects abandoned/removed in/from a static monitored scene. Energy-awareness is achieved by means of an efficient and scalable objects abandon/removal detection algorithm, a Linux governor that controls CPU frequency and operating mode so as to establish an optimal trade-off between fulfilling the application efficiencyaccuracy requirements and maximizing battery life and, finally, a pyroelectric infrared sensor that allows to wake up the CPU only when video processing is actually needed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
