BSK
Well-Known Member
I use trail-cameras almost exclusively for running season-long unbaited camera censuses. I want to see what bucks are using a property through the late summer, fall and early winter months (September through mid-January). I do this by placing cameras in likely deer high-activity areas, especially feeding areas, movement bottlenecks, and most importantly (for censusing bucks) scrapes. The questions I'm trying to answer are: Does the property see much range-shifting of bucks? When does this occur? How many bucks and of what ages and antler size use the property during different parts of the hunting season?
For these purposes, I need to identify each unique buck by sometimes very subtle antler characteristics hence I need crystal clear pictures of bucks night and day. In the past I have always relied on cameras that take the best still images. Even the best video resolutions cannot compare to a high-resolution still image. In fact, I had sort of "written off" video trail-cameras a useless for my purposes. But after this season, I'm seriously rethinking that. As my old cameras began dying after many years of use, I started replacing them with cameras that were touted for taking great still images, but also were advertised as taking great video. On a lark, I set some of these cameras on video mode over scrapes. Wow, what an eye-opener! First, I can't believe how much more I learned about deer behavior watching the video clips versus just still images (more on that later). Second, although when video is slowed down to frame-by-frame, the images still aren't anywhere near as clear as a good still image, I'm amazed at how well the human brain can "interpolate" what it is seeing in full motion. When watching the videos in full motion I could clearly see every nuance of a buck's antlers, yet when slowed down to frame-by-frame, the images were not that clear. Amazing what the human mind can do. Obviously, there is a lot of "digital processing" that goes on in our brains between what our eyes actually record and what our mind sees. In addition, there are times that even great still images can't help you identify a buck, especially a buck in full motion producing nothing but a series of blurred still image. In video, even a buck running through the set-up can be identified.
Needless to say, I'm sold. I will be investing in more high-end video units in the future. I will continue to need and use top-end still imagers for monitoring large open areas (night flash distance is greater for still images than video), but for monitoring trails, bottlenecks and scrapes, it's video for me from now on.
For these purposes, I need to identify each unique buck by sometimes very subtle antler characteristics hence I need crystal clear pictures of bucks night and day. In the past I have always relied on cameras that take the best still images. Even the best video resolutions cannot compare to a high-resolution still image. In fact, I had sort of "written off" video trail-cameras a useless for my purposes. But after this season, I'm seriously rethinking that. As my old cameras began dying after many years of use, I started replacing them with cameras that were touted for taking great still images, but also were advertised as taking great video. On a lark, I set some of these cameras on video mode over scrapes. Wow, what an eye-opener! First, I can't believe how much more I learned about deer behavior watching the video clips versus just still images (more on that later). Second, although when video is slowed down to frame-by-frame, the images still aren't anywhere near as clear as a good still image, I'm amazed at how well the human brain can "interpolate" what it is seeing in full motion. When watching the videos in full motion I could clearly see every nuance of a buck's antlers, yet when slowed down to frame-by-frame, the images were not that clear. Amazing what the human mind can do. Obviously, there is a lot of "digital processing" that goes on in our brains between what our eyes actually record and what our mind sees. In addition, there are times that even great still images can't help you identify a buck, especially a buck in full motion producing nothing but a series of blurred still image. In video, even a buck running through the set-up can be identified.
Needless to say, I'm sold. I will be investing in more high-end video units in the future. I will continue to need and use top-end still imagers for monitoring large open areas (night flash distance is greater for still images than video), but for monitoring trails, bottlenecks and scrapes, it's video for me from now on.