To study the seasonal activity pattern and regional heterogeneity distribution of the giant panda (Ailuropoda melanoleuca), we installed 130 infrared cameras alongside 57 transects at 1200-2500m above sea level in Foping National Nature Reserve, Shaanxi Province, from Jan 2015 to Dec 2017. The infrared cameras operated effectively for 100 685 days and took 1 831 effective pictures of giant pandas. Then we classified the pictures and the cameras’ working time according to bamboo-forest types and conservation-station locations to determine their seasonal spatial distribution and activity patterns. The results showed that: (1) Giant pandas were most active in spring, then in winter. The relative abundance indexes in Bashania fargesii forest and Fargesia qinlingensis forest, were respectively 2.89 and 3.72 in spring, and 2.95 and 2.74 in winter. The relative abundance index was highest in Bashania fargesii forest and Fargesia qinlingensis forest, and it means an activity peak of giant panda at March. The relative abundance index of giant pandas in B. fargesii forest was higher than that of F. qinlingensis forest in Nov, Dec and Jan, and lower in the remaining months. (2) Giant pandas existed in every conservation station, yet showed seasonal distribution differences. Sanguanmiao and Xihe stations, with the highest relative abundance indexes, caught their activity throughout the year. Giant pandas were primarily active in spring and winter at Daguping, Yueba and Longtanzi stations at a lower altitude; they were active in summer at Liangfenya station at a higher altitude, which is primarily covered with F. qinlingensis forest. (3) Human disturbance, showing some discrepancy between conservation stations, mainly included gathering, herding, travelling, domestic dog activity and monitoring. Though mostly sporadic, it affected the activities and distribution of giant pandas. This study has comprehensively investigated the seasonal dynamics and regional distribution of giant pandas in Foping National Nature Reserve. Its findings will provide valid reference for future conservation and management of giant pandas.