Reproductive behaviour of the southern-hairy nosed wombat (Lasiorhinus latifrons)

2010 ◽  
Vol 58 (6) ◽  
pp. 350 ◽  
Author(s):  
Lindsay Hogan ◽  
Clive Phillips ◽  
Allan Lisle ◽  
Alan Horsup ◽  
Tina Janssen ◽  
...  
Keyword(s):  
Current Distribution ◽  
Surveillance System ◽  
Reproductive Behaviour ◽  
Courtship Behaviour ◽  
Video Surveillance System ◽  
In The Wild ◽  
Locomotor Patterns ◽  
Reproductive Rates ◽  
Straight Lines ◽  
Daily Time

The southern hairy-nosed wombat (Lasiorhinus latifrons) is under threat as its current distribution range and population size is declining. The low reproductive rates observed for this species, both in the wild and within captivity, are a cause for concern; as such this study was designed to provide a comprehensive account of reproductive behaviour in L. latifrons. The behaviour of four groups of captive animals (each 1♂ : 2♀) was remotely monitored for 14 months using a digital video-surveillance system. Using this technology, 13 distinctive reproductive-based behaviours were identified and recorded; each behaviour was allocated to one of two categories: courtship/guarding or mating. The courtship-to-mating ritual was made up of six consecutive phases: investigation, attraction, chase, restraint, coitus and recovery. In total, 423 courtship and 49 mating bouts were observed from five (2♂ : 3♀) wombats. Courtship behaviour was observed on 116 days, with a mean bout number of 3.6 ± 0.2 per day and a mean total daily time of 29.8 ± 1.8 min. Mating was observed on 24 days, with a mean bout number of 2.1 ± 0.3 per day and a mean total daily time of 100.1 ± 9.8 min. Courtship occurred over the entire enclosure area and three distinctive courtship locomotor patterns were identified: spiral-circles, straight-lines and random. Matings occurred only in closed spaces and were always accompanied by courtship behaviour. In contrast, only 68% of all courtship days were associated with a mating event. Receptivity in the female wombats lasted for 13 h and the behavioural signs of oestrus were so subtle that only the reaction/interest of the male could be used for its detection. The covert reproductive behaviours identified for female L. latifrons closely match those previously reported for captive common wombats and may relate to this species’ need to conserve energy.

Corrigendum to: Video-surveillance system for remote long-term in situ observations: recording diel cavity use and behaviour of wild European lobsters (Homarus gammarus)

2015 ◽  
Vol 66 (4) ◽  
pp. 385
Author(s):  
Ronny Steen ◽  
Sondre Ski
Keyword(s):  
Video Surveillance ◽  
Surveillance System ◽  
Video Recording ◽  
Published Data ◽  
Video Surveillance System ◽  
Marine Animals ◽  
European Lobster ◽  
Homarus Gammarus ◽  
In The Wild

Long-term studies of subtidal marine animals in the wild are a demanding enterprise. Traditionally, data collection has been limited to direct observations during SCUBA diving. In the past decade, video technology has improved rapidly and behavioural monitoring of marine organisms has successfully been conducted by using modern video-recording equipment. Here, we describe a video-monitoring system that employs video motion detection (VMD) and describe its use with the European lobster (Homarus gammarus). There is a shortage of detailed information on lobster behaviour in the wild, with virtually no published data on the fine-scale behaviour of the European lobster under natural conditions. This dearth of information reflects the difficulties in observing behaviour in nocturnal marine animals. Here, we explore whether a remote video-surveillance system is suitable for long-term monitoring of European lobsters inhabiting an artificial cavity in a natural habitat. From the video recordings, we were able to register diel cavity use and categorise behavioural elements such as resting, feeding, burrowing and substrate moving, self-cleaning, burrow occupancy and interactions among individuals. We propose that this novel system will contribute to more efficient data sampling of lobsters and facilitate non-invasive, long-term behavioural studies of other marine and freshwater animals.

Video-surveillance system for remote long-term in situ observations: recording diel cavity use and behaviour of wild European lobsters (Homarus gammarus)

2014 ◽  
Vol 65 (12) ◽  
pp. 1094 ◽  
Author(s):  
Ronny Steen ◽  
Sondre Ski
Keyword(s):  
Video Surveillance ◽  
Surveillance System ◽  
Video Recording ◽  
Published Data ◽  
Video Surveillance System ◽  
Marine Animals ◽  
European Lobster ◽  
Homarus Gammarus ◽  
In The Wild

Long-term studies of subtidal marine animals in the wild are a demanding enterprise. Traditionally, data collection has been limited to direct observations during SCUBA diving. In the past decade, video technology has improved rapidly and behavioural monitoring of marine organisms has successfully been conducted by using modern video-recording equipment. Here, we describe a video-monitoring system that employs video motion detection (VMD) and describe its use with the European lobster (Homarus gammarus). There is a shortage of detailed information on lobster behaviour in the wild, with virtually no published data on the fine-scale behaviour of the European lobster under natural conditions. This dearth of information reflects the difficulties in observing behaviour in nocturnal marine animals. Here, we explore whether a remote video-surveillance system is suitable for long-term monitoring of European lobsters inhabiting an artificial cavity in a natural habitat. From the video recordings, we were able to register diel cavity use and categorise behavioural elements such as resting, feeding, burrowing and substrate moving, self-cleaning, burrow occupancy and interactions among individuals. We propose that this novel system will contribute to more efficient data sampling of lobsters and facilitate non-invasive, long-term behavioural studies of other marine and freshwater animals.

A Video Surveillance System for Monitoring the Endangered Mediterranean Monk Seal (Monachus monachus)

2007 ◽  
Vol 33 (2) ◽  
pp. 179-184 ◽  
Author(s):  
Panagiotis Dendrinos ◽  
Eleni Tounta ◽  
Alexandros A. Karamanlidis ◽  
Anastasios Legakis ◽  
Spyros Kotomatas
Keyword(s):  
Video Surveillance ◽  
Surveillance System ◽  
Video Surveillance System

scholarly journals Secure Video Surveillance Framework in Smart City

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4419
Author(s):  
Hao Li ◽  
Tianhao Xiezhang ◽  
Cheng Yang ◽  
Lianbing Deng ◽  
Peng Yi
Keyword(s):  
Video Surveillance ◽  
Smart City ◽  
Key Management ◽  
Surveillance System ◽  
Chinese Remainder Theorem ◽  
Smart Cities ◽  
Group Key Management ◽  
Video Surveillance System ◽  
Surveillance Systems ◽  
Key Update

In the construction process of smart cities, more and more video surveillance systems have been deployed for traffic, office buildings, shopping malls, and families. Thus, the security of video surveillance systems has attracted more attention. At present, many researchers focus on how to select the region of interest (RoI) accurately and then realize privacy protection in videos by selective encryption. However, relatively few researchers focus on building a security framework by analyzing the security of a video surveillance system from the system and data life cycle. By analyzing the surveillance video protection and the attack surface of a video surveillance system in a smart city, we constructed a secure surveillance framework in this manuscript. In the secure framework, a secure video surveillance model is proposed, and a secure authentication protocol that can resist man-in-the-middle attacks (MITM) and replay attacks is implemented. For the management of the video encryption key, we introduced the Chinese remainder theorem (CRT) on the basis of group key management to provide an efficient and secure key update. In addition, we built a decryption suite based on transparent encryption to ensure the security of the decryption environment. The security analysis proved that our system can guarantee the forward and backward security of the key update. In the experiment environment, the average decryption speed of our system can reach 91.47 Mb/s, which can meet the real-time requirement of practical applications.

scholarly journals Smart Video Surveillance System Based on Edge Computing

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2958
Author(s):  
Antonio Carlos Cob-Parro ◽  
Cristina Losada-Gutiérrez ◽  
Marta Marrón-Romera ◽  
Alfredo Gardel-Vicente ◽  
Ignacio Bravo-Muñoz
Keyword(s):  
Computer Vision ◽  
Video Surveillance ◽  
Surveillance System ◽  
Video Surveillance System ◽  
Smart Camera ◽  
People Detection ◽  
Camera System ◽  
Edge Node ◽  
New Processing ◽  
Processor Unit

New processing methods based on artificial intelligence (AI) and deep learning are replacing traditional computer vision algorithms. The more advanced systems can process huge amounts of data in large computing facilities. In contrast, this paper presents a smart video surveillance system executing AI algorithms in low power consumption embedded devices. The computer vision algorithm, typical for surveillance applications, aims to detect, count and track people’s movements in the area. This application requires a distributed smart camera system. The proposed AI application allows detecting people in the surveillance area using a MobileNet-SSD architecture. In addition, using a robust Kalman filter bank, the algorithm can keep track of people in the video also providing people counting information. The detection results are excellent considering the constraints imposed on the process. The selected architecture for the edge node is based on a UpSquared2 device that includes a vision processor unit (VPU) capable of accelerating the AI CNN inference. The results section provides information about the image processing time when multiple video cameras are connected to the same edge node, people detection precision and recall curves, and the energy consumption of the system. The discussion of results shows the usefulness of deploying this smart camera node throughout a distributed surveillance system.

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