An Automatic Camera Device for Recording Wildlife Activity

Dodge, Wendell E.; Snyder, Dana P.

doi:10.2307/3797527

Cited by 16 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Simple automated photography systems have been used to measure small mammal activity since the late 1950s (Dodge & Snyder 1960, Osterberg 1962, Buckner 1964, Carthew & Slater 1991). In recent years, high‐quality commercially constructed systems have become available (Kucera & Barrett 1993, Kucera & Barrett 1995) and are being used for a variety of wildlife research applications (Cutler & Swann 1999).…”

mentioning

confidence: 99%

Seasonal Variation in American Black BearUrsus americanusActivity Patterns: Quantification Via Remote Photography

2004

View full text Add to dashboard Cite

B rid g e s, A .S ., V a u g h a n , M .R . & K le n z e n d o rf, S. 2004: S e a so n a l v a ria tio n in A m erican black bear Ursus americanus activity patterns: quantification via rem ote p h o to g ra ph y. -W ildl. B iol. 10: 277 -28 4. A c tiv ity p a tte rn p la stic ity m a y serve as an ev o lu tio n a ry ad ap ta tio n to op tim iz e fitness in an inco nstant environm ent, how e ver, quantifyin g patterns and dem o n strating v a ria tio n c a n be p ro b le m a tic . F o r A m e ric a n b la c k b e a rs Ursus ame ricanus, w a rine ss a nd h a b ita t in a c c e ss ib ility fu rth e r c o m p lic a te quantifica tio n. R adio telem etry has bee n the prim a ry te ch niq ue use d to ex a m in e activity, ho w ever, interpretation erro r and lim itation on num be rs o f anim als available to m on itor prevent extrapolation to unm a rke d o r untransm ittered m e m bers o f the popu lation. W e used re m o te c a m e ra s to qu an tify blac k b e a r activ ity patte rns and ex a m in e d d iffe re n c e s by se a so n, se x a n d re p ro d u c tiv e c la ss in th e A lle g h a ny M o u n ta in s o f w e ste rn V irg in ia , U S A . W e u se d 1,533 p ic tu re s o f b la c k bea rs ta k e n d u rin g 19 98 -20 02 fo r o u r an alyses. B la c k b e a rs ge n e ra lly w ere d iu rn a l in su m m e r a nd no cturna l in autum n w ith a vespe rtin e activity p ea k du rin g both seasons. B e ar-hound training seasons oc cu rred during S e p tem be r and m ay offer e x p la n a tio n fo r th e o b se rv e d sh ift to w a rd s n o c tu rn a l b eh a v io u r. W e fo u n d no su b s ta n tia l d iffe re n c e s in a c tiv ity p a tte rn s b e tw e e n se x a n d re p ro d u c tiv e cla sse s. U se o f re m o te c a m e ra s a llo w e d us to e ffic ie n tly sa m ple la rg e r n u m be rs o f in d iv id u a l a n im a ls a nd lik e ly o ffe re d a b e tte r a p p ro x im a tio n o f p o p u lation-level activity patterns than individual-level, telem etry-based m ethodologies.

show abstract

mentioning

confidence: 99%

Seasonal Variation in American Black BearUrsus americanusActivity Patterns: Quantification Via Remote Photography

2004

View full text Add to dashboard Cite

show abstract

“…Time-lapse cameras Time-lapse photography records images at predetermined time intervals regardless of subject presence (Cutler & Swann 1999). It has been used for avian studies since the technology first became commercially available, although its potential uses in ornithology are quickly increasing with advances in digital technology (Dodge & Snyder 1960, Green & Anderson 1961, Cowardin & Ashe 1965, Temple 1972, Weller & Derksen 1972, Harris 1982, Huffeldt & Merkel 2013. The increased availability of affordable cameras, requiring less frequent maintenance, with reduced power consumption and larger data storage capacity, has seen the field of time-lapse photography expand rapidly in recent years (Bolton et al 2007).…”

Section: Fixed Position Camerasmentioning

confidence: 99%

Applications of digital imaging and analysis in seabird monitoring and research

Edney

Wood

2020

Ibis

View full text Add to dashboard Cite

Rapid advances in digital imaging technology offer efficient and cost‐effective methods for measuring seabird abundance, breeding success, phenology, survival and diet. These methods can facilitate understanding of long‐term population trends, and the design and implementation of successful conservation strategies. This paper reviews the suitability of satellites, manned aircraft, unmanned aerial vehicles (UAVs), and fixed‐position, handheld and animal‐borne cameras for recording digital photographs and videos used to measure seabird demographic and behavioural parameters. It considers the disturbance impacts, accuracy of results obtained, cost‐effectiveness and scale of monitoring possible compared with ‘traditional’ fieldworker methods. Given the ease of collecting large amounts of imagery, image processing is an important step in realizing the potential of this technology. The effectiveness of manual, semi‐automated and automated image processing is also reviewed. Satellites, manned aircraft and UAVs have most commonly been used for population counts. Spatial resolution is lowest in satellites, limiting monitoring to large species and those with obvious signs of presence, such as penguins. Conversely, UAVs have the highest spatial resolution, which has allowed fine‐scale measurements of foraging behaviour. Time‐lapse cameras are more cost‐effective for collecting time‐series data such as breeding success and phenology, as human visits are only required infrequently for maintenance. However, the colony of interest must be observable from a single vantage point. Handheld, animal‐borne and motion‐triggered cameras have fewer cost‐effective uses but have provided information on seabird diet, foraging behaviour and nest predation. The last of these has been important for understanding the impact of invasive mammals on seabird breeding success. Advances in automated image analysis are increasing the suitability of digital photography and videography to facilitate and/or replace traditional seabird monitoring methods. Machine‐learning algorithms, such as Pengbot, have allowed rapid identification of birds, although training requires thousands of pre‐annotated photographs. Digital imaging has considerable potential in seabird monitoring, provided that appropriate choices are available for both image capture technology and image processing. These technologies offer opportunities to collect data in remote locations and increase the number of sites monitored. The potential to include such solutions in seabird monitoring and research will develop as the technology evolves, which will be of benefit given funding challenges in monitoring and conservation.

show abstract

“…Other primitives such as sound may also be combined with posture identification to provide indications with better confidence. Algorithm is discussed in [5], [7], [8].…”

Section: Human Posture Datasetmentioning

confidence: 99%

Human Posture Detection in Always-on Body Worn Cameras

Preethi¹,

Keerthana²

2017

IJSPS

View full text Add to dashboard Cite

Internet of Things (IoTs) is the emerging Technology as the third wave in the development of the internet. IOT is accepted to have massive impact sensors, surveillance devices; wearable's and body area networks with advanced interface technique. This leads to the need for a hardware-software co-design approach. We present a highly parameterized hardware design allowing configurability and the ability to evaluate different design choices in a short amount of time. This paper aims to analyze the use of Deep learning algorithm for building such reconfigurable low power devices. We develop the hardware architecture for such a system and provide experimental results obtained for the case study of Posture detection for body worn cameras used for law enforcement. Our proposed system, implemented on a Raspberry picamera platform uses minimal power consumption with an accuracy of more than 90% for the selected case study of Posture Detection. 

show abstract

An Automatic Camera Device for Recording Wildlife Activity

Cited by 16 publications

References 0 publications

Seasonal Variation in American Black BearUrsus americanusActivity Patterns: Quantification Via Remote Photography

Seasonal Variation in American Black BearUrsus americanusActivity Patterns: Quantification Via Remote Photography

Applications of digital imaging and analysis in seabird monitoring and research

Human Posture Detection in Always-on Body Worn Cameras

Contact Info

Product

Resources

About